Overview

Dataset statistics

Number of variables364
Number of observations2310
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 MiB
Average record size in memory2.8 KiB

Variable types

BOOL204
NUM144
CAT16

Reproduction

Analysis started2020-08-10 17:35:20.286562
Analysis finished2020-08-10 17:35:35.043839
Duration14.76 seconds
Software versionpandas-profiling v2.9.0rc1
Download configurationconfig.yaml

Warnings

Ever-married sample has constant value "2310" Constant
Smoking (cigarettes in last 24 hours) has constant value "2310" Constant
Ever_heard_of_AIDS has constant value "2310" Constant
year_of_birth is highly correlated with current_ageHigh correlation
current_age is highly correlated with year_of_birthHigh correlation
injections_administered_by_healthworker is highly correlated with number_of_injectionsHigh correlation
number_of_injections is highly correlated with injections_administered_by_healthworkerHigh correlation
months_of_abstinence is highly correlated with months_since_last_sexHigh correlation
months_since_last_sex is highly correlated with months_of_abstinenceHigh correlation
Ultimate area unit is highly correlated with F1 and 2 other fieldsHigh correlation
F1 is highly correlated with Ultimate area unit and 2 other fieldsHigh correlation
Number of de jure members is highly correlated with Number of household members and 1 other fieldsHigh correlation
Number of household members is highly correlated with Number of de jure members and 1 other fieldsHigh correlation
Number of de facto members is highly correlated with Number of household members and 1 other fieldsHigh correlation
Primary sampling unit is highly correlated with F1 and 2 other fieldsHigh correlation
Region is highly correlated with F1 and 2 other fieldsHigh correlation
Household weight for male subsample (6 decimals) is highly correlated with Household sample weight (6 decimals)High correlation
Household sample weight (6 decimals) is highly correlated with Household weight for male subsample (6 decimals)High correlation
Location of source for water is highly correlated with Time to get to water source (minutes)High correlation
Time to get to water source (minutes) is highly correlated with Location of source for waterHigh correlation
Water usually treated by: boil is highly correlated with Anything done to water to make safe to drinkHigh correlation
Anything done to water to make safe to drink is highly correlated with Water usually treated by: boilHigh correlation
Food cooked in the house/ separate building/ outdoors is highly correlated with Type of cooking fuelHigh correlation
Type of cooking fuel is highly correlated with Food cooked in the house/ separate building/ outdoorsHigh correlation
type of place of residence is highly correlated with Type of place of residenceHigh correlation
Type of place of residence is highly correlated with type of place of residenceHigh correlation
Hemoglobin level (g/dl - 1 decimal) is highly correlated with birth registration and 10 other fieldsHigh correlation
birth registration is highly correlated with Hemoglobin level (g/dl - 1 decimal) and 10 other fieldsHigh correlation
Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal) is highly correlated with birth registration and 10 other fieldsHigh correlation
Anemia level is highly correlated with birth registration and 10 other fieldsHigh correlation
Birth order number is highly correlated with birth registration and 10 other fieldsHigh correlation
BMI standard deviation (new WHO) is highly correlated with birth registration and 11 other fieldsHigh correlation
Woman's height in centimeters (1 decimal) is highly correlated with BMI standard deviation (new WHO) and 1 other fieldsHigh correlation
Man's weight in kilograms (1 decimal) is highly correlated with birth registration and 10 other fieldsHigh correlation
Man's height in centimeters (1 decimal) is highly correlated with birth registration and 10 other fieldsHigh correlation
Completeness of HB32 information is highly correlated with birth registration and 10 other fieldsHigh correlation
Smoking (cigarettes in last 24 hours) 1 is highly correlated with birth registration and 10 other fieldsHigh correlation
Man's highest educational level is highly correlated with birth registration and 10 other fieldsHigh correlation
Man's highest educational level (questionnaire configuration) is highly correlated with birth registration and 11 other fieldsHigh correlation
Person slept under an LLIN net is highly correlated with Person slept under an ever-treated netHigh correlation
Person slept under an ever-treated net is highly correlated with Person slept under an LLIN netHigh correlation
Current marital status - Vitamin A test is highly correlated with Marital status and 1 other fieldsHigh correlation
Marital status is highly correlated with Current marital status - Vitamin A testHigh correlation
Current marital status - additional tests is highly correlated with Current marital status - Vitamin A test and 1 other fieldsHigh correlation
Preferred_waiting_time_for_birth_of_a/another_child is highly correlated with Current marital status - additional testsHigh correlation
type_of_place_of_residence_urban is highly correlated with type_of_place_of_residence_ruralHigh correlation
type_of_place_of_residence_rural is highly correlated with type_of_place_of_residence_urbanHigh correlation
household_has_radio_yes is highly correlated with household_has_radio_noHigh correlation
household_has_radio_no is highly correlated with household_has_radio_yesHigh correlation
education_attainment_higher is highly correlated with higest_level_of_education_higherHigh correlation
higest_level_of_education_higher is highly correlated with education_attainment_higherHigh correlation
education_attainment_incomplete secondary is highly correlated with higest_level_of_education_secondaryHigh correlation
higest_level_of_education_secondary is highly correlated with education_attainment_incomplete secondaryHigh correlation
education_attainment_no education is highly correlated with higest_level_of_education_no educationHigh correlation
higest_level_of_education_no education is highly correlated with education_attainment_no educationHigh correlation
sex_of_household_head_male is highly correlated with sex_of_household_head_femaleHigh correlation
sex_of_household_head_female is highly correlated with sex_of_household_head_maleHigh correlation
leaving_living_with_partner_never in union is highly correlated with current_marital_status_never in unionHigh correlation
current_marital_status_never in union is highly correlated with leaving_living_with_partner_never in unionHigh correlation
recent_sexual_activity_not active in last 4 weeks - not postpartum abstinence is highly correlated with recent_sexual_activity_active in last 4 weeksHigh correlation
recent_sexual_activity_active in last 4 weeks is highly correlated with recent_sexual_activity_not active in last 4 weeks - not postpartum abstinenceHigh correlation
reason_for_no_sex_husband_has_other_women_yes is highly correlated with reason_for_no_sex_husband_has_other_women_noHigh correlation
reason_for_no_sex_husband_has_other_women_no is highly correlated with reason_for_no_sex_husband_has_other_women_yesHigh correlation
reason_no_sex_tired_notinmood_yes is highly correlated with reason_no_sex_tired_notinmood_noHigh correlation
reason_no_sex_tired_notinmood_no is highly correlated with reason_no_sex_tired_notinmood_yesHigh correlation
respondent_currently_working_yes is highly correlated with respondent_currently_working_no and 1 other fieldsHigh correlation
respondent_currently_working_no is highly correlated with respondent_currently_working_yes and 1 other fieldsHigh correlation
v731_currently working is highly correlated with respondent_currently_working_no and 1 other fieldsHigh correlation
v731_no is highly correlated with work_area_not workingHigh correlation
work_area_not working is highly correlated with v731_noHigh correlation
ever_heard_of_sti_yes is highly correlated with ever_heard_of_sti_noHigh correlation
ever_heard_of_sti_no is highly correlated with ever_heard_of_sti_yesHigh correlation
used_condom_last_sex_yes is highly correlated with used_condom_last_sex_no and 1 other fieldsHigh correlation
used_condom_last_sex_no is highly correlated with used_condom_last_sex_yes and 1 other fieldsHigh correlation
condoms_from_government_yes is highly correlated with condoms_from_government_noHigh correlation
condoms_from_government_no is highly correlated with condoms_from_government_yesHigh correlation
ever_test_for_hiv_yes is highly correlated with ever_test_for_hiv_noHigh correlation
ever_test_for_hiv_no is highly correlated with ever_test_for_hiv_yesHigh correlation
last_partner_hiv_status_negative is highly correlated with last_partner_hiv_status_don't knowHigh correlation
last_partner_hiv_status_don't know is highly correlated with last_partner_hiv_status_negativeHigh correlation
ever_forced_for_sex_yes is highly correlated with ever_forced_for_sex_noHigh correlation
ever_forced_for_sex_no is highly correlated with ever_forced_for_sex_yesHigh correlation
Gender_Male is highly correlated with Gender_FemaleHigh correlation
Gender_Female is highly correlated with Gender_MaleHigh correlation
label is highly correlated with used_condom_last_sex_no and 1 other fieldsHigh correlation
Highest year of education completed has 150 (6.5%) zeros Zeros
total_children has 208 (9.0%) zeros Zeros
sons_elsewhere has 1328 (57.5%) zeros Zeros
daughters_elsewhere has 1400 (60.6%) zeros Zeros
number_of_other_wives has 322 (13.9%) zeros Zeros
months_since_last_sex has 1426 (61.7%) zeros Zeros
sexualpartners_includinspouse has 428 (18.5%) zeros Zeros
blood_test_result has 2110 (91.3%) zeros Zeros
Number of eligible women in household has 438 (19.0%) zeros Zeros
Share toilet with other households has 1204 (52.1%) zeros Zeros
Presence of water at hand washing place has 516 (22.3%) zeros Zeros
Items present: Soap or detergent has 676 (29.3%) zeros Zeros
Items present: Ash, mud, sand has 1040 (45.0%) zeros Zeros
Items present: None has 436 (18.9%) zeros Zeros
Household has separate room used as kitchen has 146 (6.3%) zeros Zeros
Hectares of agricultural land (1 decimal) has 28 (1.2%) zeros Zeros
Owns cattle has 1542 (66.8%) zeros Zeros
Owns goats has 1382 (59.8%) zeros Zeros
Owns sheep has 2040 (88.3%) zeros Zeros
Owns chickens has 882 (38.2%) zeros Zeros
CS Owns pigs has 1788 (77.4%) zeros Zeros
CS Owns exotic/cross cattle has 2072 (89.7%) zeros Zeros
Frequency household members smoke inside the house has 1884 (81.6%) zeros Zeros
Toilet has facility of handwashing after use has 1534 (66.4%) zeros Zeros
Educational attainment has 738 (31.9%) zeros Zeros
Mother alive has 36 (1.6%) zeros Zeros
Father alive has 48 (2.1%) zeros Zeros
Current marital status has 292 (12.6%) zeros Zeros
Currently, formerly, never married has 292 (12.6%) zeros Zeros
Member attended school during current school year has 1530 (66.2%) zeros Zeros
highest level of education has 116 (5.0%) zeros Zeros
highest grade completed has 196 (8.5%) zeros Zeros
level of education: currently attending has 78 (3.4%) zeros Zeros
has a blanket has 456 (19.7%) zeros Zeros
has a pair of shoes has 474 (20.5%) zeros Zeros
has atleast two sets of clothes has 172 (7.4%) zeros Zeros
Currently pregnant has 378 (16.4%) zeros Zeros
Woman's highest educational level has 60 (2.6%) zeros Zeros
Smoking (cigarettes in last 24 hours) 1 has 550 (23.8%) zeros Zeros
Man's highest educational level has 34 (1.5%) zeros Zeros
Man's highest educational level (questionnaire configuration) has 34 (1.5%) zeros Zeros
Corrected age from Individual file has 92 (4.0%) zeros Zeros
Pregnancy status from Individual file has 348 (15.1%) zeros Zeros
Times_away_from_home_in_last_12_months has 1138 (49.3%) zeros Zeros
Partner_currently_pregnant has 1636 (70.8%) zeros Zeros
Number_of_women_fathered_children_with has 222 (9.6%) zeros Zeros
Contraceptive_method_currently_used has 2066 (89.4%) zeros Zeros
Time_since_last_sex_(in_days) has 310 (13.4%) zeros Zeros
Ever_been_married_or_in_union has 220 (9.5%) zeros Zeros
Wife/partner_jealous_if_respondent_talks_with_other_women has 734 (31.8%) zeros Zeros
Wife/partner_accuses_respondent_of_unfaithfulness has 1070 (46.3%) zeros Zeros
Wife/partner_does_not_permit_respondent_to_meet_female_friends has 1540 (66.7%) zeros Zeros
Wife/partner_tries_to_limit_respondent's_contact_with_family has 1632 (70.6%) zeros Zeros
Wife/partner_insists_on_knowing_where_respondent_is has 1016 (44.0%) zeros Zeros
Wife/partner_doesn't_trust_respondent_with_money has 1408 (61.0%) zeros Zeros
Sought_advice/treatment_for_last_STI_infection has 132 (5.7%) zeros Zeros
Have_ever_paid_anyone_in_exchange_for_sex has 2162 (93.6%) zeros Zeros
Paid_for_sex_in_last_12_months has 2264 (98.0%) zeros Zeros
Used_condom_every_time_had_sex_with_most_recent_partner_in_last_12_months has 104 (4.5%) zeros Zeros
Concurrent_sexual_partners has 200 (8.7%) zeros Zeros
Experienced_any_severe_violence_(D105D-F)_by_wife/partner has 1602 (69.4%) zeros Zeros
Experienced_any_sexual_violence_(D105H-I,K)_by_wife/partner has 1622 (70.2%) zeros Zeros

Variables

Highest year of education completed
Real number (ℝ≥0)

ZEROS

Distinct count116
Unique (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.80002
Minimum0
Maximum7
Zeros150
Zeros (%)6.5%
Memory size18.0 KiB
2020-08-10T20:35:35.244828image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.98935
Coefficient of variation (CV)0.710477
Kurtosis-0.718204
Mean2.80002
Median Absolute Deviation (MAD)1
Skewness0.592135
Sum6468.04
Variance3.9575
MonotocityNot monotonic
2020-08-10T20:35:35.567545image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
168429.6%
 
233814.6%
 
431213.5%
 
324010.4%
 
61747.5%
 
51667.2%
 
01506.5%
 
71386.0%
 
2.801371< 0.1%
 
0.7064511< 0.1%
 
Other values (106)1064.6%
 
ValueCountFrequency (%) 
01506.5%
 
0.7064141< 0.1%
 
0.7064141< 0.1%
 
0.7064511< 0.1%
 
0.7064511< 0.1%
 
ValueCountFrequency (%) 
71386.0%
 
61747.5%
 
51667.2%
 
4.566951< 0.1%
 
4.566951< 0.1%
 

Wealth_index
Real number (ℝ≥0)

Distinct count5
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.05455
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:35.853996image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.47494
Coefficient of variation (CV)0.482868
Kurtosis-1.40331
Mean3.05455
Median Absolute Deviation (MAD)1
Skewness-0.0600266
Sum7056
Variance2.17546
MonotocityNot monotonic
2020-08-10T20:35:36.077002image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
553823.3%
 
149621.5%
 
446820.3%
 
242618.4%
 
338216.5%
 
ValueCountFrequency (%) 
149621.5%
 
242618.4%
 
338216.5%
 
446820.3%
 
553823.3%
 
ValueCountFrequency (%) 
553823.3%
 
446820.3%
 
338216.5%
 
242618.4%
 
149621.5%
 

Age_at_first_sex
Real number (ℝ≥0)

Distinct count23
Unique (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5385
Minimum0
Maximum96
Zeros16
Zeros (%)0.7%
Memory size18.0 KiB
2020-08-10T20:35:36.342888image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.45
Q115
median18
Q320
95-th percentile26
Maximum96
Range96
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.85934
Coefficient of variation (CV)0.53183
Kurtosis50.0862
Mean18.5385
Median Absolute Deviation (MAD)2
Skewness6.68035
Sum42824
Variance97.2066
MonotocityNot monotonic
2020-08-10T20:35:36.611235image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
1838416.6%
 
2035615.4%
 
1534615.0%
 
1632614.1%
 
172149.3%
 
192068.9%
 
13723.1%
 
14662.9%
 
23441.9%
 
10441.9%
 
Other values (13)25210.9%
 
ValueCountFrequency (%) 
0160.7%
 
10441.9%
 
11200.9%
 
12361.6%
 
13723.1%
 
ValueCountFrequency (%) 
96321.4%
 
30180.8%
 
2980.3%
 
28261.1%
 
27100.4%
 

current_age
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count44
Unique (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.8424
Minimum16
Maximum59
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:36.904666image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile20
Q125
median32
Q344
95-th percentile56
Maximum59
Range43
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.1687
Coefficient of variation (CV)0.320548
Kurtosis-0.737985
Mean34.8424
Median Absolute Deviation (MAD)7
Skewness0.506113
Sum80486
Variance124.739
MonotocityNot monotonic
2020-08-10T20:35:37.204568image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%) 
251747.5%
 
311185.1%
 
321064.6%
 
381044.5%
 
27944.1%
 
35883.8%
 
45883.8%
 
23823.5%
 
29743.2%
 
26703.0%
 
Other values (34)131256.8%
 
ValueCountFrequency (%) 
16160.7%
 
1780.3%
 
18522.3%
 
19200.9%
 
20703.0%
 
ValueCountFrequency (%) 
59522.3%
 
58542.3%
 
5720.1%
 
56221.0%
 
5580.3%
 

month_of_birth
Real number (ℝ≥0)

Distinct count12
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5316
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:37.476666image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.71874
Coefficient of variation (CV)0.569346
Kurtosis-1.34834
Mean6.5316
Median Absolute Deviation (MAD)3
Skewness0.0873639
Sum15088
Variance13.829
MonotocityNot monotonic
2020-08-10T20:35:37.708277image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
1236015.6%
 
426211.3%
 
225210.9%
 
62269.8%
 
12008.7%
 
101928.3%
 
91807.8%
 
31606.9%
 
51305.6%
 
81305.6%
 
Other values (2)2189.4%
 
ValueCountFrequency (%) 
12008.7%
 
225210.9%
 
31606.9%
 
426211.3%
 
51305.6%
 
ValueCountFrequency (%) 
1236015.6%
 
111064.6%
 
101928.3%
 
91807.8%
 
81305.6%
 

year_of_birth
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count45
Unique (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1975.58
Minimum1951
Maximum1995
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:37.996010image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1951
5-th percentile1954
Q11967
median1978
Q31985
95-th percentile1990
Maximum1995
Range44
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.1709
Coefficient of variation (CV)0.0056545
Kurtosis-0.741737
Mean1975.58
Median Absolute Deviation (MAD)8
Skewness-0.503779
Sum4.56359e+06
Variance124.789
MonotocityNot monotonic
2020-08-10T20:35:38.303958image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%) 
19861687.3%
 
19791647.1%
 
19721004.3%
 
19851004.3%
 
1983883.8%
 
1976783.4%
 
1965783.4%
 
1981743.2%
 
1990723.1%
 
1988723.1%
 
Other values (35)131657.0%
 
ValueCountFrequency (%) 
1951341.5%
 
1952321.4%
 
1953421.8%
 
1954221.0%
 
195520.1%
 
ValueCountFrequency (%) 
1995160.7%
 
199480.3%
 
199360.3%
 
1992462.0%
 
1991361.6%
 

time_to_water_source
Real number (ℝ≥0)

Distinct count246
Unique (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.6559
Minimum1
Maximum480
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:38.619590image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110
median30
Q360
95-th percentile120
Maximum480
Range479
Interquartile range (IQR)50

Descriptive statistics

Standard deviation42.4177
Coefficient of variation (CV)1.06965
Kurtosis39.646
Mean39.6559
Median Absolute Deviation (MAD)20
Skewness4.62679
Sum91605.1
Variance1799.26
MonotocityNot monotonic
2020-08-10T20:35:38.947566image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6037016.0%
 
3033014.3%
 
102229.6%
 
52129.2%
 
201807.8%
 
1201586.8%
 
151365.9%
 
401084.7%
 
3642.8%
 
45622.7%
 
Other values (236)46820.3%
 
ValueCountFrequency (%) 
1321.4%
 
2321.4%
 
3642.8%
 
440.2%
 
52129.2%
 
ValueCountFrequency (%) 
48080.3%
 
180241.0%
 
14020.1%
 
1201586.8%
 
90261.1%
 

number_of_household_members
Real number (ℝ≥0)

Distinct count13
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.94113
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:39.210170image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile10
Maximum13
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.76681
Coefficient of variation (CV)0.559956
Kurtosis0.248209
Mean4.94113
Median Absolute Deviation (MAD)2
Skewness0.668684
Sum11414
Variance7.65526
MonotocityNot monotonic
2020-08-10T20:35:39.459060image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
440017.3%
 
532614.1%
 
627611.9%
 
127211.8%
 
324010.4%
 
72269.8%
 
22028.7%
 
91144.9%
 
81144.9%
 
13381.6%
 
Other values (3)1024.4%
 
ValueCountFrequency (%) 
127211.8%
 
22028.7%
 
324010.4%
 
440017.3%
 
532614.1%
 
ValueCountFrequency (%) 
13381.6%
 
12321.4%
 
11341.5%
 
10361.6%
 
91144.9%
 

age_of_household_head
Real number (ℝ≥0)

Distinct count39
Unique (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.7801
Minimum17
Maximum74
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:39.731824image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile21.45
Q127
median34
Q343
95-th percentile57.1
Maximum74
Range57
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.79
Coefficient of variation (CV)0.301565
Kurtosis-0.517652
Mean35.7801
Median Absolute Deviation (MAD)8
Skewness0.564402
Sum82652
Variance116.425
MonotocityNot monotonic
2020-08-10T20:35:40.011677image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
251506.5%
 
271205.2%
 
351084.7%
 
331084.7%
 
40944.1%
 
23944.1%
 
36944.1%
 
50944.1%
 
38924.0%
 
31924.0%
 
Other values (29)126454.7%
 
ValueCountFrequency (%) 
1780.3%
 
20562.4%
 
21522.3%
 
22582.5%
 
23944.1%
 
ValueCountFrequency (%) 
7440.2%
 
59622.7%
 
58502.2%
 
56221.0%
 
5580.3%
 
Distinct count1080
Unique (%)46.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.19504
Minimum-14.5455
Maximum90
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:40.328799image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-14.5455
5-th percentile1
Q12
median4
Q37.52547
95-th percentile20
Maximum90
Range104.546
Interquartile range (IQR)5.52547

Descriptive statistics

Standard deviation8.45154
Coefficient of variation (CV)1.36424
Kurtosis24.1208
Mean6.19504
Median Absolute Deviation (MAD)2
Skewness4.16962
Sum14310.5
Variance71.4285
MonotocityNot monotonic
2020-08-10T20:35:42.230194image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
231413.6%
 
129012.6%
 
31827.9%
 
51084.7%
 
6944.1%
 
20462.0%
 
10381.6%
 
8381.6%
 
4281.2%
 
24221.0%
 
Other values (1070)115049.8%
 
ValueCountFrequency (%) 
-14.54551< 0.1%
 
-14.54551< 0.1%
 
-14.54551< 0.1%
 
-14.54551< 0.1%
 
-14.54551< 0.1%
 
ValueCountFrequency (%) 
9020.1%
 
6380.3%
 
52180.8%
 
5060.3%
 
4820.1%
 

wealth_index_factor_score
Real number (ℝ)

Distinct count177
Unique (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2222.51
Minimum-115000
Maximum304000
Zeros12
Zeros (%)0.5%
Memory size18.0 KiB
2020-08-10T20:35:42.553399image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-115000
5-th percentile-101550
Q1-74000
median-31000
Q366250
95-th percentile194000
Maximum304000
Range419000
Interquartile range (IQR)140250

Descriptive statistics

Standard deviation97610.7
Coefficient of variation (CV)43.9191
Kurtosis-0.260073
Mean2222.51
Median Absolute Deviation (MAD)51000
Skewness0.963869
Sum5.134e+06
Variance9.52785e+09
MonotocityNot monotonic
2020-08-10T20:35:42.865652image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-71000562.4%
 
-45000462.0%
 
-77000401.7%
 
-26000401.7%
 
-27000401.7%
 
-76000381.6%
 
-92000381.6%
 
-62000361.6%
 
-28000361.6%
 
-36000341.5%
 
Other values (167)190682.5%
 
ValueCountFrequency (%) 
-11500060.3%
 
-114000180.8%
 
-111000200.9%
 
-109000200.9%
 
-108000160.7%
 
ValueCountFrequency (%) 
30400060.3%
 
265000140.6%
 
234000100.4%
 
23300020.1%
 
228000100.4%
 

total_children
Real number (ℝ≥0)

ZEROS

Distinct count21
Unique (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.96537
Minimum0
Maximum31
Zeros208
Zeros (%)9.0%
Memory size18.0 KiB
2020-08-10T20:35:43.148759image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile12
Maximum31
Range31
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.01455
Coefficient of variation (CV)0.80851
Kurtosis6.02337
Mean4.96537
Median Absolute Deviation (MAD)2
Skewness1.72707
Sum11470
Variance16.1166
MonotocityNot monotonic
2020-08-10T20:35:43.389657image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
233414.5%
 
627411.9%
 
326811.6%
 
423010.0%
 
02089.0%
 
72089.0%
 
11787.7%
 
51707.4%
 
101185.1%
 
11703.0%
 
Other values (11)25210.9%
 
ValueCountFrequency (%) 
02089.0%
 
11787.7%
 
233414.5%
 
326811.6%
 
423010.0%
 
ValueCountFrequency (%) 
3160.3%
 
2420.1%
 
21160.7%
 
20100.4%
 
1920.1%
 

sons_elsewhere
Real number (ℝ≥0)

ZEROS

Distinct count10
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.858009
Minimum0
Maximum12
Zeros1328
Zeros (%)57.5%
Memory size18.0 KiB
2020-08-10T20:35:43.627484image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.38941
Coefficient of variation (CV)1.61934
Kurtosis7.71506
Mean0.858009
Median Absolute Deviation (MAD)0
Skewness2.3765
Sum1982
Variance1.93046
MonotocityNot monotonic
2020-08-10T20:35:43.876644image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0132857.5%
 
151622.3%
 
22229.6%
 
4944.1%
 
3843.6%
 
5361.6%
 
7160.7%
 
6100.4%
 
920.1%
 
1220.1%
 
ValueCountFrequency (%) 
0132857.5%
 
151622.3%
 
22229.6%
 
3843.6%
 
4944.1%
 
ValueCountFrequency (%) 
1220.1%
 
920.1%
 
7160.7%
 
6100.4%
 
5361.6%
 

daughters_elsewhere
Real number (ℝ≥0)

ZEROS

Distinct count9
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.84329
Minimum0
Maximum9
Zeros1400
Zeros (%)60.6%
Memory size18.0 KiB
2020-08-10T20:35:44.119488image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.55
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.42812
Coefficient of variation (CV)1.69351
Kurtosis7.24477
Mean0.84329
Median Absolute Deviation (MAD)0
Skewness2.43421
Sum1948
Variance2.03953
MonotocityNot monotonic
2020-08-10T20:35:44.334967image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
0140060.6%
 
139817.2%
 
228012.1%
 
31165.0%
 
6502.2%
 
4381.6%
 
5140.6%
 
980.3%
 
860.3%
 
ValueCountFrequency (%) 
0140060.6%
 
139817.2%
 
228012.1%
 
31165.0%
 
4381.6%
 
ValueCountFrequency (%) 
980.3%
 
860.3%
 
6502.2%
 
5140.6%
 
4381.6%
 

number_of_injections
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1560
Unique (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.20335
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:44.612302image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.0323
median4
Q34.51126
95-th percentile6.07202
Maximum30
Range29
Interquartile range (IQR)1.47897

Descriptive statistics

Standard deviation2.92325
Coefficient of variation (CV)0.695457
Kurtosis43.5988
Mean4.20335
Median Absolute Deviation (MAD)0.607535
Skewness5.79598
Sum9709.73
Variance8.54537
MonotocityNot monotonic
2020-08-10T20:35:44.941033image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
31928.3%
 
21787.7%
 
11365.9%
 
41144.9%
 
5341.5%
 
12281.2%
 
10261.1%
 
6221.0%
 
25120.5%
 
30120.5%
 
Other values (1550)155667.4%
 
ValueCountFrequency (%) 
11365.9%
 
21787.7%
 
2.338111< 0.1%
 
2.338111< 0.1%
 
2.338111< 0.1%
 
ValueCountFrequency (%) 
30120.5%
 
25120.5%
 
2020.1%
 
12281.2%
 
10261.1%
 

injections_administered_by_healthworker
Real number (ℝ)

HIGH CORRELATION

Distinct count1623
Unique (%)70.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0608
Minimum-1.20564
Maximum30
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:45.280397image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-1.20564
5-th percentile1
Q13
median4
Q34.53683
95-th percentile6.23652
Maximum30
Range31.2056
Interquartile range (IQR)1.53683

Descriptive statistics

Standard deviation3.00518
Coefficient of variation (CV)0.740047
Kurtosis39.8686
Mean4.0608
Median Absolute Deviation (MAD)0.7259
Skewness5.4036
Sum9380.46
Variance9.03113
MonotocityNot monotonic
2020-08-10T20:35:45.596172image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
31827.9%
 
11566.8%
 
21506.5%
 
4823.5%
 
12261.1%
 
10261.1%
 
5221.0%
 
6221.0%
 
30120.5%
 
25120.5%
 
Other values (1613)162070.1%
 
ValueCountFrequency (%) 
-1.205641< 0.1%
 
-1.205641< 0.1%
 
-1.205641< 0.1%
 
-1.205641< 0.1%
 
-1.205641< 0.1%
 
ValueCountFrequency (%) 
30120.5%
 
25120.5%
 
2020.1%
 
1320.1%
 
12261.1%
 

number_of_other_wives
Real number (ℝ)

ZEROS

Distinct count603
Unique (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.868495
Minimum-3.45134
Maximum6
Zeros322
Zeros (%)13.9%
Memory size18.0 KiB
2020-08-10T20:35:45.928815image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-3.45134
5-th percentile-1.06511
Q10.38928
median1
Q31
95-th percentile2.13306
Maximum6
Range9.45134
Interquartile range (IQR)0.61072

Descriptive statistics

Standard deviation1.06206
Coefficient of variation (CV)1.22288
Kurtosis4.1402
Mean0.868495
Median Absolute Deviation (MAD)0.0330845
Skewness-0.506087
Sum2006.22
Variance1.12798
MonotocityNot monotonic
2020-08-10T20:35:46.243583image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1113048.9%
 
032213.9%
 
22209.5%
 
3241.0%
 
4100.4%
 
660.3%
 
520.1%
 
1.152751< 0.1%
 
-2.822651< 0.1%
 
-2.822681< 0.1%
 
Other values (593)59325.7%
 
ValueCountFrequency (%) 
-3.451341< 0.1%
 
-3.451341< 0.1%
 
-3.451341< 0.1%
 
-3.451341< 0.1%
 
-3.451321< 0.1%
 
ValueCountFrequency (%) 
660.3%
 
520.1%
 
4100.4%
 
3.325861< 0.1%
 
3.325861< 0.1%
 

months_of_first_cohabitation
Real number (ℝ≥0)

Distinct count218
Unique (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.23969
Minimum1
Maximum12.6619
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:46.548648image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39.3518
95-th percentile12
Maximum12.6619
Range11.6619
Interquartile range (IQR)6.3518

Descriptive statistics

Standard deviation3.6397
Coefficient of variation (CV)0.583314
Kurtosis-1.20134
Mean6.23969
Median Absolute Deviation (MAD)3
Skewness0.180809
Sum14413.7
Variance13.2474
MonotocityNot monotonic
2020-08-10T20:35:46.877142image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
128612.4%
 
1226411.4%
 
423610.2%
 
52169.4%
 
62169.4%
 
21767.6%
 
81586.8%
 
111285.5%
 
31205.2%
 
71084.7%
 
Other values (208)40217.4%
 
ValueCountFrequency (%) 
128612.4%
 
21767.6%
 
2.709131< 0.1%
 
2.709131< 0.1%
 
2.709151< 0.1%
 
ValueCountFrequency (%) 
12.66191< 0.1%
 
12.66191< 0.1%
 
12.66191< 0.1%
 
12.66191< 0.1%
 
12.66181< 0.1%
 

year_of_first_cohabitation
Real number (ℝ≥0)

Distinct count248
Unique (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1997.59
Minimum1967
Maximum2020.17
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:47.196162image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1967
5-th percentile1974
Q11991
median2000
Q32007
95-th percentile2011
Maximum2020.17
Range53.1749
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.3611
Coefficient of variation (CV)0.00568739
Kurtosis-0.232675
Mean1997.59
Median Absolute Deviation (MAD)7
Skewness-0.697384
Sum4.61443e+06
Variance129.074
MonotocityNot monotonic
2020-08-10T20:35:47.536004image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20071325.7%
 
20041245.4%
 
20051124.8%
 
20001124.8%
 
19941064.6%
 
20101044.5%
 
2008964.2%
 
1993944.1%
 
1999944.1%
 
2006924.0%
 
Other values (238)124453.9%
 
ValueCountFrequency (%) 
196760.3%
 
1970200.9%
 
1971381.6%
 
1972241.0%
 
1973221.0%
 
ValueCountFrequency (%) 
2020.171< 0.1%
 
2020.171< 0.1%
 
2020.171< 0.1%
 
2020.171< 0.1%
 
2020.171< 0.1%
 

age_at_first_cohabitation
Real number (ℝ≥0)

Distinct count235
Unique (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.4832
Minimum10
Maximum51
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:47.873015image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14
Q118
median21
Q324
95-th percentile33
Maximum51
Range41
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.94325
Coefficient of variation (CV)0.276647
Kurtosis5.54532
Mean21.4832
Median Absolute Deviation (MAD)3
Skewness1.81175
Sum49626.1
Variance35.3222
MonotocityNot monotonic
2020-08-10T20:35:48.183804image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1925010.8%
 
202089.0%
 
181868.1%
 
211848.0%
 
231325.7%
 
161325.7%
 
241305.6%
 
151084.7%
 
14843.6%
 
22843.6%
 
Other values (225)81235.2%
 
ValueCountFrequency (%) 
1080.3%
 
12160.7%
 
13462.0%
 
14843.6%
 
151084.7%
 
ValueCountFrequency (%) 
51100.4%
 
48200.9%
 
42120.5%
 
39180.8%
 
3680.3%
 

months_since_last_sex
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct count115
Unique (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.4146
Minimum-37.9802
Maximum240
Zeros1426
Zeros (%)61.7%
Memory size18.0 KiB
2020-08-10T20:35:48.496170image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-37.9802
5-th percentile0
Q10
median0
Q32
95-th percentile69.7014
Maximum240
Range277.98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation36.0464
Coefficient of variation (CV)3.15792
Kurtosis17.5059
Mean11.4146
Median Absolute Deviation (MAD)0
Skewness4.03223
Sum26367.7
Variance1299.34
MonotocityNot monotonic
2020-08-10T20:35:48.805107image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0142661.7%
 
12008.7%
 
121225.3%
 
3883.8%
 
2843.6%
 
48421.8%
 
24341.5%
 
36341.5%
 
4321.4%
 
60281.2%
 
Other values (105)2209.5%
 
ValueCountFrequency (%) 
-37.98021< 0.1%
 
-37.98021< 0.1%
 
-37.98021< 0.1%
 
-37.98021< 0.1%
 
-37.98021< 0.1%
 
ValueCountFrequency (%) 
240120.5%
 
215.1021< 0.1%
 
215.1021< 0.1%
 
215.1021< 0.1%
 
215.1021< 0.1%
 

months_of_abstinence
Real number (ℝ)

HIGH CORRELATION

Distinct count1632
Unique (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.3954
Minimum-37.87
Maximum238.506
Zeros4
Zeros (%)0.2%
Memory size18.0 KiB
2020-08-10T20:35:49.139412image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-37.87
5-th percentile-0.192435
Q10.0112256
median0.117715
Q32
95-th percentile69.2909
Maximum238.506
Range276.376
Interquartile range (IQR)1.98877

Descriptive statistics

Standard deviation35.846
Coefficient of variation (CV)3.14566
Kurtosis17.4633
Mean11.3954
Median Absolute Deviation (MAD)0.182459
Skewness4.02722
Sum26323.3
Variance1284.93
MonotocityNot monotonic
2020-08-10T20:35:49.448654image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
12008.7%
 
121225.3%
 
3883.8%
 
2843.6%
 
48421.8%
 
24341.5%
 
36341.5%
 
4321.4%
 
5261.1%
 
8120.5%
 
Other values (1622)163670.8%
 
ValueCountFrequency (%) 
-37.871< 0.1%
 
-37.871< 0.1%
 
-37.871< 0.1%
 
-37.871< 0.1%
 
-37.871< 0.1%
 
ValueCountFrequency (%) 
238.5061< 0.1%
 
238.5061< 0.1%
 
238.5061< 0.1%
 
238.5061< 0.1%
 
238.5061< 0.1%
 
Distinct count4
Unique (%)0.2%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1986 
1
254 
2
 
54
5
 
16
ValueCountFrequency (%) 
0198686.0%
 
125411.0%
 
2542.3%
 
5160.7%
 

sexualpartners_includinspouse
Real number (ℝ≥0)

ZEROS

Distinct count7
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.00952
Minimum0
Maximum6
Zeros428
Zeros (%)18.5%
Memory size18.0 KiB
2020-08-10T20:35:49.728159image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.781385
Coefficient of variation (CV)0.774014
Kurtosis13.2179
Mean1.00952
Median Absolute Deviation (MAD)0
Skewness2.53464
Sum2332
Variance0.610563
MonotocityNot monotonic
2020-08-10T20:35:49.948042image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
1157068.0%
 
042818.5%
 
224410.6%
 
3401.7%
 
6160.7%
 
5100.4%
 
420.1%
 
ValueCountFrequency (%) 
042818.5%
 
1157068.0%
 
224410.6%
 
3401.7%
 
420.1%
 
ValueCountFrequency (%) 
6160.7%
 
5100.4%
 
420.1%
 
3401.7%
 
224410.6%
 
Distinct count315
Unique (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.52206
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:50.240616image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.2418
Q35
95-th percentile13
Maximum59
Range58
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.85372
Coefficient of variation (CV)1.07334
Kurtosis54.6741
Mean4.52206
Median Absolute Deviation (MAD)1.41524
Skewness5.92397
Sum10446
Variance23.5585
MonotocityNot monotonic
2020-08-10T20:35:50.556411image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
138016.5%
 
236215.7%
 
333214.4%
 
430013.0%
 
51767.6%
 
61084.7%
 
10883.8%
 
7723.1%
 
15682.9%
 
8582.5%
 
Other values (305)36615.8%
 
ValueCountFrequency (%) 
138016.5%
 
236215.7%
 
2.515951< 0.1%
 
2.515951< 0.1%
 
2.515951< 0.1%
 
ValueCountFrequency (%) 
5960.3%
 
5040.2%
 
3040.2%
 
2320.1%
 
20120.5%
 

number_of_testing_times
Real number (ℝ)

Distinct count924
Unique (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.41202
Minimum-9.86066
Maximum20
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:51.423542image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-9.86066
5-th percentile-3.06299
Q11
median3
Q35.66009
95-th percentile11.0257
Maximum20
Range29.8607
Interquartile range (IQR)4.66009

Descriptive statistics

Standard deviation4.27344
Coefficient of variation (CV)1.25247
Kurtosis1.66607
Mean3.41202
Median Absolute Deviation (MAD)2
Skewness0.376568
Sum7881.77
Variance18.2623
MonotocityNot monotonic
2020-08-10T20:35:51.743661image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
137816.4%
 
231813.8%
 
329412.7%
 
41526.6%
 
6723.1%
 
5622.7%
 
7582.5%
 
10421.8%
 
14100.4%
 
1180.3%
 
Other values (914)91639.7%
 
ValueCountFrequency (%) 
-9.860661< 0.1%
 
-9.860661< 0.1%
 
-9.860661< 0.1%
 
-9.860661< 0.1%
 
-9.860661< 0.1%
 
ValueCountFrequency (%) 
2020.1%
 
15.64831< 0.1%
 
15.64831< 0.1%
 
15.64831< 0.1%
 
15.64831< 0.1%
 

household
Real number (ℝ≥0)

Distinct count22
Unique (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.7801
Minimum2
Maximum25
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:52.033267image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15
median9
Q317
95-th percentile24
Maximum25
Range23
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.19969
Coefficient of variation (CV)0.667869
Kurtosis-1.12915
Mean10.7801
Median Absolute Deviation (MAD)6
Skewness0.406047
Sum24902
Variance51.8355
MonotocityNot monotonic
2020-08-10T20:35:52.295848image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
542018.2%
 
241818.1%
 
82289.9%
 
181727.4%
 
171566.8%
 
151486.4%
 
91084.7%
 
231064.6%
 
24944.1%
 
11823.5%
 
Other values (12)37816.4%
 
ValueCountFrequency (%) 
241818.1%
 
3100.4%
 
4321.4%
 
542018.2%
 
6180.8%
 
ValueCountFrequency (%) 
25381.6%
 
24944.1%
 
231064.6%
 
22241.0%
 
21100.4%
 

blood_test_result
Real number (ℝ≥0)

ZEROS

Distinct count14
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0828007
Minimum0
Maximum1
Zeros2110
Zeros (%)91.3%
Memory size18.0 KiB
2020-08-10T20:35:52.551786image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.273765
Coefficient of variation (CV)3.30632
Kurtosis7.28996
Mean0.0828007
Median Absolute Deviation (MAD)0
Skewness3.04097
Sum191.27
Variance0.0749474
MonotocityNot monotonic
2020-08-10T20:35:52.806263image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
0211091.3%
 
11888.1%
 
0.2724621< 0.1%
 
0.2724621< 0.1%
 
0.2724621< 0.1%
 
0.2724621< 0.1%
 
0.2724621< 0.1%
 
0.2724621< 0.1%
 
0.2724621< 0.1%
 
0.2724611< 0.1%
 
Other values (4)40.2%
 
ValueCountFrequency (%) 
0211091.3%
 
0.2724611< 0.1%
 
0.2724611< 0.1%
 
0.2724621< 0.1%
 
0.2724621< 0.1%
 
ValueCountFrequency (%) 
11888.1%
 
0.2724621< 0.1%
 
0.2724621< 0.1%
 
0.2724621< 0.1%
 
0.2724621< 0.1%
 

cd4_count
Real number (ℝ)

Distinct count2166
Unique (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean317.706
Minimum-1291.54
Maximum1985.35
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:53.100598image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-1291.54
5-th percentile-307.019
Q1-21.2174
median318.917
Q3577.583
95-th percentile1151.21
Maximum1985.35
Range3276.89
Interquartile range (IQR)598.801

Descriptive statistics

Standard deviation486.217
Coefficient of variation (CV)1.5304
Kurtosis1.19418
Mean317.706
Median Absolute Deviation (MAD)290.792
Skewness0.235341
Sum733901
Variance236407
MonotocityNot monotonic
2020-08-10T20:35:53.417703image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
519261.1%
 
439160.7%
 
1077120.5%
 
294120.5%
 
39100.4%
 
417100.4%
 
35100.4%
 
1469100.4%
 
10680.3%
 
55460.3%
 
Other values (2156)219094.8%
 
ValueCountFrequency (%) 
-1291.541< 0.1%
 
-1291.541< 0.1%
 
-1291.541< 0.1%
 
-1291.541< 0.1%
 
-1291.541< 0.1%
 
ValueCountFrequency (%) 
1985.351< 0.1%
 
1985.351< 0.1%
 
1985.351< 0.1%
 
1985.351< 0.1%
 
1985.351< 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2250 
1
 
60
ValueCountFrequency (%) 
0225097.4%
 
1602.6%
 

F1
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1155
Unique (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14342.9
Minimum9
Maximum28490
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:53.750151image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile1490.45
Q17599.25
median15335
Q321097.8
95-th percentile26148.5
Maximum28490
Range28481
Interquartile range (IQR)13498.5

Descriptive statistics

Standard deviation7994.71
Coefficient of variation (CV)0.557399
Kurtosis-1.15824
Mean14342.9
Median Absolute Deviation (MAD)6493
Skewness-0.0682864
Sum3.3132e+07
Variance6.39153e+07
MonotocityNot monotonic
2020-08-10T20:35:54.043070image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2304720.1%
 
1631920.1%
 
416920.1%
 
2540220.1%
 
2593220.1%
 
884320.1%
 
1318820.1%
 
2790520.1%
 
2748920.1%
 
1880320.1%
 
Other values (1145)229099.1%
 
ValueCountFrequency (%) 
920.1%
 
1020.1%
 
1120.1%
 
1220.1%
 
5020.1%
 
ValueCountFrequency (%) 
2849020.1%
 
2848920.1%
 
2848820.1%
 
2848720.1%
 
2848620.1%
 

Ultimate area unit
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count183
Unique (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256.973
Minimum1
Maximum470
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:54.355860image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29
Q1151
median287
Q3367
95-th percentile448
Maximum470
Range469
Interquartile range (IQR)216

Descriptive statistics

Standard deviation132.939
Coefficient of variation (CV)0.517326
Kurtosis-1.10696
Mean256.973
Median Absolute Deviation (MAD)103
Skewness-0.243653
Sum593608
Variance17672.7
MonotocityNot monotonic
2020-08-10T20:35:54.664459image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
335482.1%
 
238441.9%
 
328441.9%
 
289421.8%
 
29381.6%
 
346361.6%
 
299361.6%
 
367361.6%
 
414321.4%
 
342281.2%
 
Other values (173)192683.4%
 
ValueCountFrequency (%) 
180.3%
 
260.3%
 
4100.4%
 
6100.4%
 
840.2%
 
ValueCountFrequency (%) 
470241.0%
 
46920.1%
 
46820.1%
 
46760.3%
 
466200.9%
 

Household sample weight (6 decimals)
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count183
Unique (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.09068
Minimum0.060932
Maximum2.73826
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:54.971291image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0.060932
5-th percentile0.210014
Q10.756448
median1.06985
Q31.42808
95-th percentile1.80958
Maximum2.73826
Range2.67733
Interquartile range (IQR)0.671634

Descriptive statistics

Standard deviation0.501419
Coefficient of variation (CV)0.459729
Kurtosis-0.201811
Mean1.09068
Median Absolute Deviation (MAD)0.345516
Skewness0.143772
Sum2519.48
Variance0.251421
MonotocityNot monotonic
2020-08-10T20:35:55.314538image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.64056482.1%
 
1.62867441.9%
 
1.41246441.9%
 
1.25845421.8%
 
1.16917381.6%
 
1.03788361.6%
 
1.58314361.6%
 
1.05947361.6%
 
0.480013321.4%
 
0.659929281.2%
 
Other values (173)192683.4%
 
ValueCountFrequency (%) 
0.06093220.1%
 
0.08115480.3%
 
0.09464520.1%
 
0.110515120.5%
 
0.12937960.3%
 
ValueCountFrequency (%) 
2.7382660.3%
 
2.6946160.3%
 
2.37858120.5%
 
2.31978100.4%
 
2.2307180.3%
 

Number of household members
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count14
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.53074
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:55.595080image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q38.75
95-th percentile11
Maximum19
Range18
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation3.33124
Coefficient of variation (CV)0.510086
Kurtosis2.18352
Mean6.53074
Median Absolute Deviation (MAD)2
Skewness0.982922
Sum15086
Variance11.0971
MonotocityNot monotonic
2020-08-10T20:35:55.815780image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
729412.7%
 
527011.7%
 
626411.4%
 
426411.4%
 
1024010.4%
 
824010.4%
 
91988.6%
 
31988.6%
 
11185.1%
 
2843.6%
 
Other values (4)1406.1%
 
ValueCountFrequency (%) 
11185.1%
 
2843.6%
 
31988.6%
 
426411.4%
 
527011.7%
 
ValueCountFrequency (%) 
19381.6%
 
16321.4%
 
13261.1%
 
11441.9%
 
1024010.4%
 

Number of eligible women in household
Real number (ℝ≥0)

ZEROS

Distinct count6
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.18874
Minimum0
Maximum6
Zeros438
Zeros (%)19.0%
Memory size18.0 KiB
2020-08-10T20:35:56.050584image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.979148
Coefficient of variation (CV)0.823682
Kurtosis6.75779
Mean1.18874
Median Absolute Deviation (MAD)0
Skewness1.92042
Sum2746
Variance0.95873
MonotocityNot monotonic
2020-08-10T20:35:56.260451image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
1127855.3%
 
043819.0%
 
243018.6%
 
31124.8%
 
6321.4%
 
4200.9%
 
ValueCountFrequency (%) 
043819.0%
 
1127855.3%
 
243018.6%
 
31124.8%
 
4200.9%
 
ValueCountFrequency (%) 
6321.4%
 
4200.9%
 
31124.8%
 
243018.6%
 
1127855.3%
 
Distinct count5
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.45628
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:56.492745image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.813774
Coefficient of variation (CV)0.558804
Kurtosis4.83651
Mean1.45628
Median Absolute Deviation (MAD)0
Skewness2.10538
Sum3364
Variance0.662228
MonotocityNot monotonic
2020-08-10T20:35:56.727677image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
1160469.4%
 
245019.5%
 
32028.7%
 
5381.6%
 
4160.7%
 
ValueCountFrequency (%) 
1160469.4%
 
245019.5%
 
32028.7%
 
4160.7%
 
5381.6%
 
ValueCountFrequency (%) 
5381.6%
 
4160.7%
 
32028.7%
 
245019.5%
 
1160469.4%
 

Number of de jure members
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count14
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3013
Minimum0
Maximum19
Zeros4
Zeros (%)0.2%
Memory size18.0 KiB
2020-08-10T20:35:56.987315image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q38.75
95-th percentile10
Maximum19
Range19
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation3.21149
Coefficient of variation (CV)0.509656
Kurtosis2.28858
Mean6.3013
Median Absolute Deviation (MAD)2
Skewness0.88727
Sum14556
Variance10.3137
MonotocityNot monotonic
2020-08-10T20:35:57.213668image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
527211.8%
 
427011.7%
 
626811.6%
 
726811.6%
 
923810.3%
 
1023210.0%
 
82089.0%
 
32048.8%
 
11265.5%
 
21124.8%
 
Other values (4)1124.8%
 
ValueCountFrequency (%) 
040.2%
 
11265.5%
 
21124.8%
 
32048.8%
 
427011.7%
 
ValueCountFrequency (%) 
19381.6%
 
13261.1%
 
11441.9%
 
1023210.0%
 
923810.3%
 

Number of de facto members
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count14
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.35152
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:57.455707image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q38
95-th percentile11
Maximum19
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.37716
Coefficient of variation (CV)0.531709
Kurtosis2.12852
Mean6.35152
Median Absolute Deviation (MAD)2
Skewness0.998804
Sum14672
Variance11.4052
MonotocityNot monotonic
2020-08-10T20:35:57.681212image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
630213.1%
 
529012.6%
 
426011.3%
 
1024010.4%
 
72249.7%
 
82249.7%
 
31968.5%
 
91807.8%
 
11365.9%
 
21185.1%
 
Other values (4)1406.1%
 
ValueCountFrequency (%) 
11365.9%
 
21185.1%
 
31968.5%
 
426011.3%
 
529012.6%
 
ValueCountFrequency (%) 
19381.6%
 
16321.4%
 
12261.1%
 
11441.9%
 
1024010.4%
 

Ever-married sample
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2310 
ValueCountFrequency (%) 
02310100.0%
 

Primary sampling unit
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count183
Unique (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256.973
Minimum1
Maximum470
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:57.971443image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29
Q1151
median287
Q3367
95-th percentile448
Maximum470
Range469
Interquartile range (IQR)216

Descriptive statistics

Standard deviation132.939
Coefficient of variation (CV)0.517326
Kurtosis-1.10696
Mean256.973
Median Absolute Deviation (MAD)103
Skewness-0.243653
Sum593608
Variance17672.7
MonotocityNot monotonic
2020-08-10T20:35:58.280567image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
335482.1%
 
238441.9%
 
328441.9%
 
289421.8%
 
29381.6%
 
346361.6%
 
299361.6%
 
367361.6%
 
414321.4%
 
342281.2%
 
Other values (173)192683.4%
 
ValueCountFrequency (%) 
180.3%
 
260.3%
 
4100.4%
 
6100.4%
 
840.2%
 
ValueCountFrequency (%) 
470241.0%
 
46920.1%
 
46820.1%
 
46760.3%
 
466200.9%
 

Region
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count7
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.92727
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:58.532640image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.75204
Coefficient of variation (CV)0.44612
Kurtosis-1.03888
Mean3.92727
Median Absolute Deviation (MAD)1
Skewness-0.157704
Sum9072
Variance3.06963
MonotocityNot monotonic
2020-08-10T20:35:58.737401image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
549621.5%
 
638816.8%
 
437416.2%
 
337216.1%
 
228812.5%
 
127812.0%
 
71144.9%
 
ValueCountFrequency (%) 
127812.0%
 
228812.5%
 
337216.1%
 
437416.2%
 
549621.5%
 
ValueCountFrequency (%) 
71144.9%
 
638816.8%
 
549621.5%
 
437416.2%
 
337216.1%
 

Type of place of residence
Categorical

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
2
1822 
1
488 
ValueCountFrequency (%) 
2182278.9%
 
148821.1%
 

Household weight for male subsample (6 decimals)
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count183
Unique (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.11108
Minimum0.058382
Maximum2.68943
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:59.016735image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0.058382
5-th percentile0.209077
Q10.714963
median1.16015
Q31.45624
95-th percentile2.0138
Maximum2.68943
Range2.63104
Interquartile range (IQR)0.741277

Descriptive statistics

Standard deviation0.529937
Coefficient of variation (CV)0.476958
Kurtosis-0.302313
Mean1.11108
Median Absolute Deviation (MAD)0.39441
Skewness0.238874
Sum2566.59
Variance0.280833
MonotocityNot monotonic
2020-08-10T20:35:59.360162image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.72161482.1%
 
1.28891441.9%
 
1.62553441.9%
 
1.20579421.8%
 
1.17359381.6%
 
1.03589361.6%
 
1.51689361.6%
 
1.16015361.6%
 
0.536581321.4%
 
1.33307281.2%
 
Other values (173)192683.4%
 
ValueCountFrequency (%) 
0.05838220.1%
 
0.06803880.3%
 
0.07179220.1%
 
0.09813960.3%
 
0.12231460.3%
 
ValueCountFrequency (%) 
2.6894360.3%
 
2.5143660.3%
 
2.49609120.5%
 
2.38488200.9%
 
2.2264280.3%
 

Total adults measured
Real number (ℝ≥0)

Distinct count7
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.70909
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:35:59.637614image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.42254
Coefficient of variation (CV)0.525097
Kurtosis3.98866
Mean2.70909
Median Absolute Deviation (MAD)0
Skewness1.85854
Sum6258
Variance2.02361
MonotocityNot monotonic
2020-08-10T20:35:59.855526image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
2116650.5%
 
349821.6%
 
12169.4%
 
41848.0%
 
51365.9%
 
8703.0%
 
6401.7%
 
ValueCountFrequency (%) 
12169.4%
 
2116650.5%
 
349821.6%
 
41848.0%
 
51365.9%
 
ValueCountFrequency (%) 
8703.0%
 
6401.7%
 
51365.9%
 
41848.0%
 
349821.6%
 

Source of drinking water
Real number (ℝ≥0)

Distinct count15
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.9844
Minimum11
Maximum96
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:00.107959image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile12
Q123
median23
Q336
95-th percentile51
Maximum96
Range85
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.7482
Coefficient of variation (CV)0.491281
Kurtosis5.90764
Mean27.9844
Median Absolute Deviation (MAD)10
Skewness1.98855
Sum64644
Variance189.013
MonotocityNot monotonic
2020-08-10T20:36:00.332108image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
23105045.5%
 
3639617.1%
 
1325411.0%
 
342169.4%
 
12783.4%
 
71703.0%
 
11662.9%
 
44602.6%
 
45341.5%
 
62221.0%
 
Other values (5)642.8%
 
ValueCountFrequency (%) 
11662.9%
 
12783.4%
 
1325411.0%
 
22200.9%
 
23105045.5%
 
ValueCountFrequency (%) 
96200.9%
 
71703.0%
 
62221.0%
 
5180.3%
 
46100.4%
 

Time to get to water source (minutes)
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count27
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.722
Minimum2
Maximum998
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:00.585348image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q120
median30
Q360
95-th percentile996
Maximum998
Range996
Interquartile range (IQR)40

Descriptive statistics

Standard deviation318.935
Coefficient of variation (CV)1.94803
Kurtosis2.90242
Mean163.722
Median Absolute Deviation (MAD)20
Skewness2.19109
Sum378198
Variance101720
MonotocityNot monotonic
2020-08-10T20:36:00.855857image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
6046620.2%
 
3045219.6%
 
99628612.4%
 
2024610.6%
 
101446.2%
 
151305.6%
 
51185.1%
 
120642.8%
 
25602.6%
 
40522.3%
 
Other values (17)29212.6%
 
ValueCountFrequency (%) 
2120.5%
 
3160.7%
 
51185.1%
 
660.3%
 
101446.2%
 
ValueCountFrequency (%) 
99860.3%
 
99628612.4%
 
240301.3%
 
180401.7%
 
120642.8%
 

Type of toilet facility
Real number (ℝ≥0)

Distinct count9
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.4113
Minimum11
Maximum96
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:01.105366image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile21
Q122
median23
Q324
95-th percentile31
Maximum96
Range85
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.41573
Coefficient of variation (CV)0.23133
Kurtosis83.0869
Mean23.4113
Median Absolute Deviation (MAD)1
Skewness6.10643
Sum54080
Variance29.3301
MonotocityNot monotonic
2020-08-10T20:36:01.326658image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
2273031.6%
 
2363627.5%
 
2435415.3%
 
3126611.5%
 
211225.3%
 
111064.6%
 
25843.6%
 
4160.3%
 
9660.3%
 
ValueCountFrequency (%) 
111064.6%
 
211225.3%
 
2273031.6%
 
2363627.5%
 
2435415.3%
 
ValueCountFrequency (%) 
9660.3%
 
4160.3%
 
3126611.5%
 
25843.6%
 
2435415.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1950 
1
360 
ValueCountFrequency (%) 
0195084.4%
 
136015.6%
 

Has radio
Boolean

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1686 
0
624 
ValueCountFrequency (%) 
1168673.0%
 
062427.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1932 
1
378 
ValueCountFrequency (%) 
0193283.6%
 
137816.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2140 
1
 
170
ValueCountFrequency (%) 
0214092.6%
 
11707.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1308 
0
1002 
ValueCountFrequency (%) 
1130856.6%
 
0100243.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2078 
1
232 
ValueCountFrequency (%) 
0207890.0%
 
123210.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2208 
1
 
102
ValueCountFrequency (%) 
0220895.6%
 
11024.4%
 

Main floor material
Real number (ℝ≥0)

Distinct count6
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.3359
Minimum11
Maximum96
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:01.565598image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q111
median12
Q335
95-th percentile35
Maximum96
Range85
Interquartile range (IQR)24

Descriptive statistics

Standard deviation11.7765
Coefficient of variation (CV)0.642265
Kurtosis7.99077
Mean18.3359
Median Absolute Deviation (MAD)1
Skewness2.10363
Sum42356
Variance138.687
MonotocityNot monotonic
2020-08-10T20:36:01.778901image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
1296041.6%
 
1171030.7%
 
3556024.2%
 
33582.5%
 
96120.5%
 
36100.4%
 
ValueCountFrequency (%) 
1171030.7%
 
1296041.6%
 
33582.5%
 
3556024.2%
 
36100.4%
 
ValueCountFrequency (%) 
96120.5%
 
36100.4%
 
3556024.2%
 
33582.5%
 
1296041.6%
 

Main wall material
Real number (ℝ≥0)

Distinct count8
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.3273
Minimum21
Maximum96
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:02.001945image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile21
Q121
median22
Q334
95-th percentile34
Maximum96
Range75
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.06911
Coefficient of variation (CV)0.344476
Kurtosis33.4949
Mean26.3273
Median Absolute Deviation (MAD)1
Skewness4.79818
Sum60816
Variance82.2488
MonotocityNot monotonic
2020-08-10T20:36:02.228921image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
2171430.9%
 
3464828.1%
 
2262627.1%
 
241807.8%
 
31803.5%
 
23341.5%
 
96241.0%
 
3340.2%
 
ValueCountFrequency (%) 
2171430.9%
 
2262627.1%
 
23341.5%
 
241807.8%
 
31803.5%
 
ValueCountFrequency (%) 
96241.0%
 
3464828.1%
 
3340.2%
 
31803.5%
 
241807.8%
 

Main roof material
Real number (ℝ≥0)

Distinct count6
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.8095
Minimum11
Maximum96
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:02.477461image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q111
median22
Q322
95-th percentile22
Maximum96
Range85
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.6101
Coefficient of variation (CV)0.564079
Kurtosis36.0414
Mean18.8095
Median Absolute Deviation (MAD)0
Skewness5.20535
Sum43450
Variance112.573
MonotocityNot monotonic
2020-08-10T20:36:02.677312image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
22134458.2%
 
1188638.4%
 
24361.6%
 
96321.4%
 
1280.3%
 
2640.2%
 
ValueCountFrequency (%) 
1188638.4%
 
1280.3%
 
22134458.2%
 
24361.6%
 
2640.2%
 
ValueCountFrequency (%) 
96321.4%
 
2640.2%
 
24361.6%
 
22134458.2%
 
1280.3%
 
Distinct count7
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.07013
Minimum0
Maximum7
Zeros8
Zeros (%)0.3%
Memory size18.0 KiB
2020-08-10T20:36:02.885507image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.29339
Coefficient of variation (CV)0.624788
Kurtosis2.96218
Mean2.07013
Median Absolute Deviation (MAD)1
Skewness1.56915
Sum4782
Variance1.67286
MonotocityNot monotonic
2020-08-10T20:36:03.098366image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
198242.5%
 
263827.6%
 
342618.4%
 
41345.8%
 
5723.1%
 
7502.2%
 
080.3%
 
ValueCountFrequency (%) 
080.3%
 
198242.5%
 
263827.6%
 
342618.4%
 
41345.8%
 
ValueCountFrequency (%) 
7502.2%
 
5723.1%
 
41345.8%
 
342618.4%
 
263827.6%
 

Relationship structure
Real number (ℝ≥0)

Distinct count6
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.89351
Minimum0
Maximum5
Zeros4
Zeros (%)0.2%
Memory size18.0 KiB
2020-08-10T20:36:03.322826image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.23466
Coefficient of variation (CV)0.4267
Kurtosis-1.30052
Mean2.89351
Median Absolute Deviation (MAD)1
Skewness0.208498
Sum6684
Variance1.52438
MonotocityNot monotonic
2020-08-10T20:36:04.189417image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
2103644.8%
 
476233.0%
 
52249.7%
 
12048.8%
 
3803.5%
 
040.2%
 
ValueCountFrequency (%) 
040.2%
 
12048.8%
 
2103644.8%
 
3803.5%
 
476233.0%
 
ValueCountFrequency (%) 
52249.7%
 
476233.0%
 
3803.5%
 
2103644.8%
 
12048.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2220 
2
 
90
ValueCountFrequency (%) 
1222096.1%
 
2903.9%
 

Age of head of household
Real number (ℝ≥0)

Distinct count47
Unique (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.4719
Minimum15
Maximum87
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:04.462504image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile22
Q130
median38
Q345
95-th percentile65
Maximum87
Range72
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.0749
Coefficient of variation (CV)0.331247
Kurtosis2.50437
Mean39.4719
Median Absolute Deviation (MAD)8
Skewness1.29128
Sum91180
Variance170.954
MonotocityNot monotonic
2020-08-10T20:36:04.766649image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%) 
391205.2%
 
351185.1%
 
381024.4%
 
491004.3%
 
51964.2%
 
42964.2%
 
28964.2%
 
44924.0%
 
45903.9%
 
33823.5%
 
Other values (37)131857.1%
 
ValueCountFrequency (%) 
1560.3%
 
1620.1%
 
1760.3%
 
1820.1%
 
19120.5%
 
ValueCountFrequency (%) 
87140.6%
 
85200.9%
 
83120.5%
 
81200.9%
 
75381.6%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2262 
1
 
48
ValueCountFrequency (%) 
0226297.9%
 
1482.1%
 
Distinct count268
Unique (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.405452
Minimum-0.890363
Maximum1.96186
Zeros1204
Zeros (%)52.1%
Memory size18.0 KiB
2020-08-10T20:36:05.104259image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-0.890363
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1.96186
Range2.85222
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.530028
Coefficient of variation (CV)1.30725
Kurtosis-1.06203
Mean0.405452
Median Absolute Deviation (MAD)0
Skewness0.392486
Sum936.593
Variance0.28093
MonotocityNot monotonic
2020-08-10T20:36:05.418454image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0120452.1%
 
184036.4%
 
0.8866931< 0.1%
 
-0.4050671< 0.1%
 
0.8866081< 0.1%
 
0.0464221< 0.1%
 
0.6312761< 0.1%
 
-0.8903311< 0.1%
 
-0.2899471< 0.1%
 
0.32651< 0.1%
 
Other values (258)25811.2%
 
ValueCountFrequency (%) 
-0.8903631< 0.1%
 
-0.8903631< 0.1%
 
-0.8903321< 0.1%
 
-0.8903321< 0.1%
 
-0.8903311< 0.1%
 
ValueCountFrequency (%) 
1.961861< 0.1%
 
1.961861< 0.1%
 
1.961861< 0.1%
 
1.961861< 0.1%
 
1.961821< 0.1%
 

Type of cooking fuel
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count7
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.80779
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:05.693279image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q18
median8
Q38
95-th percentile8
Maximum95
Range94
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.7182
Coefficient of variation (CV)1.39871
Kurtosis34.4575
Mean9.80779
Median Absolute Deviation (MAD)0
Skewness6.01205
Sum22656
Variance188.19
MonotocityNot monotonic
2020-08-10T20:36:05.899644image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
8178077.1%
 
737016.0%
 
95582.5%
 
5321.4%
 
2321.4%
 
1200.9%
 
4180.8%
 
ValueCountFrequency (%) 
1200.9%
 
2321.4%
 
4180.8%
 
5321.4%
 
737016.0%
 
ValueCountFrequency (%) 
95582.5%
 
8178077.1%
 
737016.0%
 
5321.4%
 
4180.8%
 
Distinct count4
Unique (%)0.2%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1076 
2
924 
4
270 
3
 
40
ValueCountFrequency (%) 
1107646.6%
 
292440.0%
 
427011.7%
 
3401.7%
 
Distinct count1236
Unique (%)53.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.460353
Minimum-1.17469
Maximum1.92457
Zeros516
Zeros (%)22.3%
Memory size18.0 KiB
2020-08-10T20:36:06.167180image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-1.17469
5-th percentile-0.337669
Q10
median0.494903
Q31
95-th percentile1.11443
Maximum1.92457
Range3.09926
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.534412
Coefficient of variation (CV)1.16087
Kurtosis-0.596799
Mean0.460353
Median Absolute Deviation (MAD)0.494903
Skewness-0.29526
Sum1063.42
Variance0.285596
MonotocityNot monotonic
2020-08-10T20:36:06.479460image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
156024.2%
 
051622.3%
 
0.3779041< 0.1%
 
0.6485271< 0.1%
 
0.01311261< 0.1%
 
0.4981371< 0.1%
 
1.114431< 0.1%
 
0.1222781< 0.1%
 
1.129761< 0.1%
 
1.260771< 0.1%
 
Other values (1226)122653.1%
 
ValueCountFrequency (%) 
-1.174691< 0.1%
 
-1.174691< 0.1%
 
-1.0961< 0.1%
 
-1.0961< 0.1%
 
-1.0961< 0.1%
 
ValueCountFrequency (%) 
1.924571< 0.1%
 
1.924571< 0.1%
 
1.920761< 0.1%
 
1.920761< 0.1%
 
1.578131< 0.1%
 

Items present: Soap or detergent
Real number (ℝ)

ZEROS

Distinct count1236
Unique (%)53.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.276459
Minimum-1.50904
Maximum2.19971
Zeros676
Zeros (%)29.3%
Memory size18.0 KiB
2020-08-10T20:36:06.810440image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-1.50904
5-th percentile-0.453667
Q10
median0
Q30.828114
95-th percentile1.07778
Maximum2.19971
Range3.70875
Interquartile range (IQR)0.828114

Descriptive statistics

Standard deviation0.537123
Coefficient of variation (CV)1.94287
Kurtosis-0.0283798
Mean0.276459
Median Absolute Deviation (MAD)0.286933
Skewness0.475238
Sum638.619
Variance0.288501
MonotocityNot monotonic
2020-08-10T20:36:07.132159image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
067629.3%
 
140017.3%
 
-0.05177981< 0.1%
 
1.096941< 0.1%
 
-0.5561491< 0.1%
 
0.3051631< 0.1%
 
0.1220821< 0.1%
 
-0.07310061< 0.1%
 
0.8489681< 0.1%
 
-0.08159721< 0.1%
 
Other values (1226)122653.1%
 
ValueCountFrequency (%) 
-1.509041< 0.1%
 
-1.509041< 0.1%
 
-1.509041< 0.1%
 
-1.509041< 0.1%
 
-1.509041< 0.1%
 
ValueCountFrequency (%) 
2.199711< 0.1%
 
2.199711< 0.1%
 
2.199711< 0.1%
 
2.199711< 0.1%
 
2.120241< 0.1%
 

Items present: Ash, mud, sand
Real number (ℝ)

ZEROS

Distinct count1236
Unique (%)53.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0160038
Minimum-0.777399
Maximum1.1159
Zeros1040
Zeros (%)45.0%
Memory size18.0 KiB
2020-08-10T20:36:07.474070image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-0.777399
5-th percentile-0.393983
Q1-0.0927609
median0
Q30
95-th percentile0.378018
Maximum1.1159
Range1.8933
Interquartile range (IQR)0.0927609

Descriptive statistics

Standard deviation0.246449
Coefficient of variation (CV)-15.3994
Kurtosis5.26752
Mean-0.0160038
Median Absolute Deviation (MAD)0.0481127
Skewness1.06299
Sum-36.9688
Variance0.0607373
MonotocityNot monotonic
2020-08-10T20:36:07.789225image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0104045.0%
 
1361.6%
 
-0.08287481< 0.1%
 
-0.3235621< 0.1%
 
-0.3661351< 0.1%
 
-0.03369291< 0.1%
 
-0.4050171< 0.1%
 
-0.3235621< 0.1%
 
-0.4089731< 0.1%
 
-0.06390791< 0.1%
 
Other values (1226)122653.1%
 
ValueCountFrequency (%) 
-0.7773991< 0.1%
 
-0.7773991< 0.1%
 
-0.7773991< 0.1%
 
-0.7773991< 0.1%
 
-0.7673121< 0.1%
 
ValueCountFrequency (%) 
1.11591< 0.1%
 
1.11591< 0.1%
 
1.11591< 0.1%
 
1.11591< 0.1%
 
1.11591< 0.1%
 

Items present: None
Real number (ℝ)

ZEROS

Distinct count1234
Unique (%)53.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.707159
Minimum-0.439292
Maximum1.71522
Zeros436
Zeros (%)18.9%
Memory size18.0 KiB
2020-08-10T20:36:08.130989image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-0.439292
5-th percentile0
Q10.24931
median0.941113
Q31
95-th percentile1.27262
Maximum1.71522
Range2.15451
Interquartile range (IQR)0.75069

Descriptive statistics

Standard deviation0.459289
Coefficient of variation (CV)0.649486
Kurtosis-1.04585
Mean0.707159
Median Absolute Deviation (MAD)0.249272
Skewness-0.510853
Sum1633.54
Variance0.210947
MonotocityNot monotonic
2020-08-10T20:36:08.444391image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
164027.7%
 
043618.9%
 
0.89944320.1%
 
0.89944320.1%
 
1.303771< 0.1%
 
0.8971821< 0.1%
 
-0.1421121< 0.1%
 
0.7583721< 0.1%
 
0.9411131< 0.1%
 
1.096791< 0.1%
 
Other values (1224)122453.0%
 
ValueCountFrequency (%) 
-0.4392921< 0.1%
 
-0.4392921< 0.1%
 
-0.4202671< 0.1%
 
-0.4202671< 0.1%
 
-0.4202671< 0.1%
 
ValueCountFrequency (%) 
1.715221< 0.1%
 
1.715221< 0.1%
 
1.71421< 0.1%
 
1.71421< 0.1%
 
1.71421< 0.1%
 
Distinct count4
Unique (%)0.2%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2156 
3
 
90
6
 
48
0
 
16
ValueCountFrequency (%) 
1215693.3%
 
3903.9%
 
6482.1%
 
0160.7%
 

Location of source for water
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count246
Unique (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.90641
Minimum1.96065
Maximum3
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:08.774893image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1.96065
5-th percentile2.14729
Q13
median3
Q33
95-th percentile3
Maximum3
Range1.03935
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.26014
Coefficient of variation (CV)0.0895056
Kurtosis5.03485
Mean2.90641
Median Absolute Deviation (MAD)0
Skewness-2.58064
Sum6713.8
Variance0.0676727
MonotocityNot monotonic
2020-08-10T20:36:09.113777image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3202487.6%
 
2421.8%
 
2.206531< 0.1%
 
2.51421< 0.1%
 
2.298411< 0.1%
 
2.237691< 0.1%
 
2.51421< 0.1%
 
2.514191< 0.1%
 
2.251631< 0.1%
 
2.147941< 0.1%
 
Other values (236)23610.2%
 
ValueCountFrequency (%) 
1.960651< 0.1%
 
1.960651< 0.1%
 
1.9751< 0.1%
 
1.9751< 0.1%
 
1.9751< 0.1%
 
ValueCountFrequency (%) 
3202487.6%
 
2.875081< 0.1%
 
2.875081< 0.1%
 
2.875081< 0.1%
 
2.875081< 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1408 
1
902 
ValueCountFrequency (%) 
0140861.0%
 
190239.0%
 

Water usually treated by: boil
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1512 
1
798 
ValueCountFrequency (%) 
0151265.5%
 
179834.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2258 
1
 
52
ValueCountFrequency (%) 
0225897.7%
 
1522.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2304 
1
 
6
ValueCountFrequency (%) 
0230499.7%
 
160.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2224 
1
 
86
ValueCountFrequency (%) 
0222496.3%
 
1863.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2292 
1
 
18
ValueCountFrequency (%) 
0229299.2%
 
1180.8%
 
Distinct count1479
Unique (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5299
Minimum-99.8363
Maximum175.997
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:09.447770image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-99.8363
5-th percentile-38.4663
Q12
median5
Q343.9079
95-th percentile95
Maximum175.997
Range275.833
Interquartile range (IQR)41.9079

Descriptive statistics

Standard deviation43.9167
Coefficient of variation (CV)2.13915
Kurtosis0.801376
Mean20.5299
Median Absolute Deviation (MAD)18.1384
Skewness0.623528
Sum47424.1
Variance1928.67
MonotocityNot monotonic
2020-08-10T20:36:09.747118image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
233414.5%
 
951446.2%
 
31225.3%
 
4924.0%
 
7502.2%
 
5502.2%
 
6421.8%
 
840.2%
 
920.1%
 
32.77261< 0.1%
 
Other values (1469)146963.6%
 
ValueCountFrequency (%) 
-99.83631< 0.1%
 
-99.83631< 0.1%
 
-99.83631< 0.1%
 
-99.83631< 0.1%
 
-84.56991< 0.1%
 
ValueCountFrequency (%) 
175.9971< 0.1%
 
175.9971< 0.1%
 
175.9971< 0.1%
 
175.9971< 0.1%
 
175.9971< 0.1%
 

Food cooked in the house/ separate building/ outdoors
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count61
Unique (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3894
Minimum1
Maximum18.2094
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:10.063266image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum18.2094
Range17.2094
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0543
Coefficient of variation (CV)0.859755
Kurtosis33.0841
Mean2.3894
Median Absolute Deviation (MAD)0
Skewness5.6072
Sum5519.52
Variance4.22016
MonotocityNot monotonic
2020-08-10T20:36:10.377320image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2152466.0%
 
345019.5%
 
127812.0%
 
11.53651< 0.1%
 
17.36461< 0.1%
 
13.13881< 0.1%
 
17.36471< 0.1%
 
14.30321< 0.1%
 
17.36461< 0.1%
 
14.19521< 0.1%
 
Other values (51)512.2%
 
ValueCountFrequency (%) 
127812.0%
 
2152466.0%
 
345019.5%
 
11.16391< 0.1%
 
11.16391< 0.1%
 
ValueCountFrequency (%) 
18.20941< 0.1%
 
18.20941< 0.1%
 
17.36471< 0.1%
 
17.36471< 0.1%
 
17.36471< 0.1%
 
Distinct count2034
Unique (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.723949
Minimum-2.77496
Maximum4.98026
Zeros146
Zeros (%)6.3%
Memory size18.0 KiB
2020-08-10T20:36:10.715291image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-2.77496
5-th percentile-0.529555
Q10.186266
median0.602537
Q31.01102
95-th percentile2.39368
Maximum4.98026
Range7.75522
Interquartile range (IQR)0.824754

Descriptive statistics

Standard deviation0.919006
Coefficient of variation (CV)1.26943
Kurtosis3.42305
Mean0.723949
Median Absolute Deviation (MAD)0.413832
Skewness1.09757
Sum1672.32
Variance0.844572
MonotocityNot monotonic
2020-08-10T20:36:11.032540image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01466.3%
 
11325.7%
 
1.35161< 0.1%
 
-1.367821< 0.1%
 
0.6911211< 0.1%
 
3.178861< 0.1%
 
-0.1088671< 0.1%
 
2.059411< 0.1%
 
0.07475021< 0.1%
 
0.56131< 0.1%
 
Other values (2024)202487.6%
 
ValueCountFrequency (%) 
-2.774961< 0.1%
 
-2.774961< 0.1%
 
-1.907271< 0.1%
 
-1.907271< 0.1%
 
-1.907271< 0.1%
 
ValueCountFrequency (%) 
4.980261< 0.1%
 
4.980261< 0.1%
 
4.637071< 0.1%
 
4.637071< 0.1%
 
4.637071< 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1548 
0
762 
ValueCountFrequency (%) 
1154867.0%
 
076233.0%
 

Has watch
Boolean

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1944 
1
366 
ValueCountFrequency (%) 
0194484.2%
 
136615.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2270 
1
 
40
ValueCountFrequency (%) 
0227098.3%
 
1401.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1866 
0
444 
ValueCountFrequency (%) 
1186680.8%
 
044419.2%
 
Distinct count476
Unique (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.8087
Minimum0
Maximum380
Zeros28
Zeros (%)1.2%
Memory size18.0 KiB
2020-08-10T20:36:11.374500image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median14.3438
Q323.3265
95-th percentile60
Maximum380
Range380
Interquartile range (IQR)17.3265

Descriptive statistics

Standard deviation36.1368
Coefficient of variation (CV)1.73662
Kurtosis66.9753
Mean20.8087
Median Absolute Deviation (MAD)8.34381
Skewness7.37547
Sum48068.1
Variance1305.87
MonotocityNot monotonic
2020-08-10T20:36:11.689532image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
428412.3%
 
1226811.6%
 
1625411.0%
 
82189.4%
 
21606.9%
 
201426.1%
 
40783.4%
 
10582.5%
 
1562.4%
 
80522.3%
 
Other values (466)74032.0%
 
ValueCountFrequency (%) 
0281.2%
 
1562.4%
 
21606.9%
 
3140.6%
 
428412.3%
 
ValueCountFrequency (%) 
380160.7%
 
24020.1%
 
120321.4%
 
80522.3%
 
6420.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1792 
0
518 
ValueCountFrequency (%) 
1179277.6%
 
051822.4%
 

Owns cattle
Real number (ℝ≥0)

ZEROS

Distinct count12
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.55931
Minimum0
Maximum50
Zeros1542
Zeros (%)66.8%
Memory size18.0 KiB
2020-08-10T20:36:11.970388image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum50
Range50
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.30447
Coefficient of variation (CV)3.40181
Kurtosis59.077
Mean1.55931
Median Absolute Deviation (MAD)0
Skewness7.13913
Sum3602
Variance28.1375
MonotocityNot monotonic
2020-08-10T20:36:12.218954image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
0154266.8%
 
125010.8%
 
223410.1%
 
3823.5%
 
8582.5%
 
10321.4%
 
5241.0%
 
20241.0%
 
7221.0%
 
50200.9%
 
Other values (2)221.0%
 
ValueCountFrequency (%) 
0154266.8%
 
125010.8%
 
223410.1%
 
3823.5%
 
4160.7%
 
ValueCountFrequency (%) 
50200.9%
 
20241.0%
 
10321.4%
 
8582.5%
 
7221.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2304 
1
 
6
ValueCountFrequency (%) 
0230499.7%
 
160.3%
 

Owns goats
Real number (ℝ≥0)

ZEROS

Distinct count13
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.75152
Minimum0
Maximum30
Zeros1382
Zeros (%)59.8%
Memory size18.0 KiB
2020-08-10T20:36:12.462463image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum30
Range30
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.54244
Coefficient of variation (CV)2.0225
Kurtosis24.756
Mean1.75152
Median Absolute Deviation (MAD)0
Skewness4.13611
Sum4046
Variance12.5489
MonotocityNot monotonic
2020-08-10T20:36:12.691793image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
0138259.8%
 
22129.2%
 
41908.2%
 
11606.9%
 
31365.9%
 
5482.1%
 
10421.8%
 
12341.5%
 
7301.3%
 
8241.0%
 
Other values (3)522.3%
 
ValueCountFrequency (%) 
0138259.8%
 
11606.9%
 
22129.2%
 
31365.9%
 
41908.2%
 
ValueCountFrequency (%) 
30140.6%
 
14221.0%
 
12341.5%
 
10421.8%
 
8241.0%
 

Owns sheep
Real number (ℝ≥0)

ZEROS

Distinct count8
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.458009
Minimum0
Maximum18
Zeros2040
Zeros (%)88.3%
Memory size18.0 KiB
2020-08-10T20:36:12.930532image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.55
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.99625
Coefficient of variation (CV)4.35855
Kurtosis52.4894
Mean0.458009
Median Absolute Deviation (MAD)0
Skewness6.80219
Sum1058
Variance3.98503
MonotocityNot monotonic
2020-08-10T20:36:13.150302image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
0204088.3%
 
1903.9%
 
2642.8%
 
5321.4%
 
4301.3%
 
3200.9%
 
18200.9%
 
10140.6%
 
ValueCountFrequency (%) 
0204088.3%
 
1903.9%
 
2642.8%
 
3200.9%
 
4301.3%
 
ValueCountFrequency (%) 
18200.9%
 
10140.6%
 
5321.4%
 
4301.3%
 
3200.9%
 

Owns chickens
Real number (ℝ≥0)

ZEROS

Distinct count19
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.49784
Minimum0
Maximum98
Zeros882
Zeros (%)38.2%
Memory size18.0 KiB
2020-08-10T20:36:13.403283image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile12
Maximum98
Range98
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.7173
Coefficient of variation (CV)2.16044
Kurtosis60.9138
Mean4.49784
Median Absolute Deviation (MAD)2
Skewness7.03342
Sum10390
Variance94.4259
MonotocityNot monotonic
2020-08-10T20:36:13.660438image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
088238.2%
 
52249.7%
 
22209.5%
 
101727.4%
 
31727.4%
 
41426.1%
 
11064.6%
 
7944.1%
 
6823.5%
 
8502.2%
 
Other values (9)1667.2%
 
ValueCountFrequency (%) 
088238.2%
 
11064.6%
 
22209.5%
 
31727.4%
 
41426.1%
 
ValueCountFrequency (%) 
9880.3%
 
95100.4%
 
40140.6%
 
30120.5%
 
20321.4%
 

CS Owns pigs
Real number (ℝ≥0)

ZEROS

Distinct count7
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.448485
Minimum0
Maximum9
Zeros1788
Zeros (%)77.4%
Memory size18.0 KiB
2020-08-10T20:36:13.903960image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.11903
Coefficient of variation (CV)2.49512
Kurtosis25.5636
Mean0.448485
Median Absolute Deviation (MAD)0
Skewness4.34972
Sum1036
Variance1.25222
MonotocityNot monotonic
2020-08-10T20:36:14.120170image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
0178877.4%
 
22269.8%
 
12269.8%
 
4261.1%
 
3221.0%
 
9120.5%
 
8100.4%
 
ValueCountFrequency (%) 
0178877.4%
 
12269.8%
 
22269.8%
 
3221.0%
 
4261.1%
 
ValueCountFrequency (%) 
9120.5%
 
8100.4%
 
4261.1%
 
3221.0%
 
22269.8%
 

CS Owns exotic/cross cattle
Real number (ℝ≥0)

ZEROS

Distinct count9
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.614719
Minimum0
Maximum30
Zeros2072
Zeros (%)89.7%
Memory size18.0 KiB
2020-08-10T20:36:14.345683image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.34782
Coefficient of variation (CV)5.44611
Kurtosis64.3705
Mean0.614719
Median Absolute Deviation (MAD)0
Skewness7.87862
Sum1420
Variance11.2079
MonotocityNot monotonic
2020-08-10T20:36:14.555171image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
0207289.7%
 
2924.0%
 
3401.7%
 
1361.6%
 
5281.2%
 
30200.9%
 
2880.3%
 
1080.3%
 
660.3%
 
ValueCountFrequency (%) 
0207289.7%
 
1361.6%
 
2924.0%
 
3401.7%
 
5281.2%
 
ValueCountFrequency (%) 
30200.9%
 
2880.3%
 
1080.3%
 
660.3%
 
5281.2%
 
Distinct count5
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.267532
Minimum0
Maximum4
Zeros1884
Zeros (%)81.6%
Memory size18.0 KiB
2020-08-10T20:36:14.782177image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.655676
Coefficient of variation (CV)2.45083
Kurtosis10.7248
Mean0.267532
Median Absolute Deviation (MAD)0
Skewness3.05251
Sum618
Variance0.429911
MonotocityNot monotonic
2020-08-10T20:36:15.010830image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
0188481.6%
 
129212.6%
 
2964.2%
 
4200.9%
 
3180.8%
 
ValueCountFrequency (%) 
0188481.6%
 
129212.6%
 
2964.2%
 
3180.8%
 
4200.9%
 
ValueCountFrequency (%) 
4200.9%
 
3180.8%
 
2964.2%
 
129212.6%
 
0188481.6%
 
Distinct count259
Unique (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0135474
Minimum-1.30105
Maximum3.19568
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:15.321080image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-1.30105
5-th percentile-1.0418
Q1-0.73777
median-0.32965
Q30.3809
95-th percentile2.15037
Maximum3.19568
Range4.49673
Interquartile range (IQR)1.11867

Descriptive statistics

Standard deviation0.989424
Coefficient of variation (CV)-73.034
Kurtosis1.12337
Mean-0.0135474
Median Absolute Deviation (MAD)0.47538
Skewness1.30204
Sum-31.2946
Variance0.978959
MonotocityNot monotonic
2020-08-10T20:36:15.632983image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.56692381.6%
 
-0.52922321.4%
 
-0.0984261.1%
 
0.11204221.0%
 
-0.17493221.0%
 
-0.77565200.9%
 
-0.96773200.9%
 
2.85766200.9%
 
1.78952200.9%
 
0.3809200.9%
 
Other values (249)207089.6%
 
ValueCountFrequency (%) 
-1.3010580.3%
 
-1.27746200.9%
 
-1.2136680.3%
 
-1.1782660.3%
 
-1.1702140.6%
 
ValueCountFrequency (%) 
3.1956880.3%
 
3.11615120.5%
 
3.0769280.3%
 
3.0041540.2%
 
2.9055440.2%
 

type of place of residence
Categorical

HIGH CORRELATION

Distinct count3
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
3
1822 
1
396 
2
 
92
ValueCountFrequency (%) 
3182278.9%
 
139617.1%
 
2924.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
2
1378 
1
932 
ValueCountFrequency (%) 
2137859.7%
 
193240.3%
 
Distinct count268
Unique (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23086
Minimum-1.88499
Maximum2.18339
Zeros1534
Zeros (%)66.4%
Memory size18.0 KiB
2020-08-10T20:36:15.962505image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-1.88499
5-th percentile-0.409572
Q10
median0
Q30.568401
95-th percentile1
Maximum2.18339
Range4.06837
Interquartile range (IQR)0.568401

Descriptive statistics

Standard deviation0.508077
Coefficient of variation (CV)2.2008
Kurtosis0.925408
Mean0.23086
Median Absolute Deviation (MAD)0
Skewness0.703901
Sum533.286
Variance0.258142
MonotocityNot monotonic
2020-08-10T20:36:16.300163image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0153466.4%
 
151022.1%
 
0.1222131< 0.1%
 
-0.569981< 0.1%
 
0.1725611< 0.1%
 
-0.4887581< 0.1%
 
-0.4887531< 0.1%
 
1.404011< 0.1%
 
0.7687831< 0.1%
 
-0.4585561< 0.1%
 
Other values (258)25811.2%
 
ValueCountFrequency (%) 
-1.884991< 0.1%
 
-1.884991< 0.1%
 
-1.884981< 0.1%
 
-1.884981< 0.1%
 
-1.884981< 0.1%
 
ValueCountFrequency (%) 
2.183391< 0.1%
 
2.183391< 0.1%
 
2.051351< 0.1%
 
2.051351< 0.1%
 
2.051351< 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2042 
1
268 
ValueCountFrequency (%) 
0204288.4%
 
126811.6%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1674 
0
636 
ValueCountFrequency (%) 
1167472.5%
 
063627.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1870 
0
440 
ValueCountFrequency (%) 
1187081.0%
 
044019.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1746 
1
564 
ValueCountFrequency (%) 
0174675.6%
 
156424.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1880 
0
430 
ValueCountFrequency (%) 
1188081.4%
 
043018.6%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1686 
1
624 
ValueCountFrequency (%) 
0168673.0%
 
162427.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1796 
1
514 
ValueCountFrequency (%) 
0179677.7%
 
151422.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2276 
1
 
34
ValueCountFrequency (%) 
0227698.5%
 
1341.5%
 

Relationship to head
Real number (ℝ≥0)

Distinct count11
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.38009
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:16.600506image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile11
Maximum13
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.84676
Coefficient of variation (CV)0.842216
Kurtosis3.7335
Mean3.38009
Median Absolute Deviation (MAD)1
Skewness2.10303
Sum7808
Variance8.10406
MonotocityNot monotonic
2020-08-10T20:36:16.834794image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
3110247.7%
 
151822.4%
 
231413.6%
 
51024.4%
 
10662.9%
 
13542.3%
 
8482.1%
 
12462.0%
 
11401.7%
 
6140.6%
 
ValueCountFrequency (%) 
151822.4%
 
231413.6%
 
3110247.7%
 
460.3%
 
51024.4%
 
ValueCountFrequency (%) 
13542.3%
 
12462.0%
 
11401.7%
 
10662.9%
 
8482.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2240 
0
 
70
ValueCountFrequency (%) 
1224097.0%
 
0703.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2242 
0
 
68
ValueCountFrequency (%) 
1224297.1%
 
0682.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1290 
2
1020 
ValueCountFrequency (%) 
1129055.8%
 
2102044.2%
 

Educational attainment
Real number (ℝ≥0)

ZEROS

Distinct count9
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.20797
Minimum0
Maximum8
Zeros738
Zeros (%)31.9%
Memory size18.0 KiB
2020-08-10T20:36:17.070003image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.31687
Coefficient of variation (CV)1.09015
Kurtosis1.87187
Mean1.20797
Median Absolute Deviation (MAD)1
Skewness1.46476
Sum2790.42
Variance1.73416
MonotocityNot monotonic
2020-08-10T20:36:17.300021image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
1102644.4%
 
073831.9%
 
325811.2%
 
21386.0%
 
51124.8%
 
4341.5%
 
820.1%
 
1.207731< 0.1%
 
1.207731< 0.1%
 
ValueCountFrequency (%) 
073831.9%
 
1102644.4%
 
1.207731< 0.1%
 
1.207731< 0.1%
 
21386.0%
 
ValueCountFrequency (%) 
820.1%
 
51124.8%
 
4341.5%
 
325811.2%
 
21386.0%
 

Mother alive
Real number (ℝ)

ZEROS

Distinct count1032
Unique (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.838635
Minimum-42.0267
Maximum37.4456
Zeros36
Zeros (%)1.6%
Memory size18.0 KiB
2020-08-10T20:36:17.600416image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-42.0267
5-th percentile0
Q10.972769
median1
Q31
95-th percentile1
Maximum37.4456
Range79.4723
Interquartile range (IQR)0.0272313

Descriptive statistics

Standard deviation3.45936
Coefficient of variation (CV)4.12499
Kurtosis44.2433
Mean0.838635
Median Absolute Deviation (MAD)0
Skewness-1.24596
Sum1937.25
Variance11.9671
MonotocityNot monotonic
2020-08-10T20:36:17.934362image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1124453.9%
 
0361.6%
 
0.9730581< 0.1%
 
1.002181< 0.1%
 
0.9725531< 0.1%
 
-6.656491< 0.1%
 
0.9727441< 0.1%
 
0.9734691< 0.1%
 
0.9738221< 0.1%
 
0.9719911< 0.1%
 
Other values (1022)102244.2%
 
ValueCountFrequency (%) 
-42.02671< 0.1%
 
-42.02671< 0.1%
 
-22.37241< 0.1%
 
-22.37241< 0.1%
 
-22.35261< 0.1%
 
ValueCountFrequency (%) 
37.44561< 0.1%
 
37.44561< 0.1%
 
20.68741< 0.1%
 
20.68741< 0.1%
 
20.6871< 0.1%
 

Father alive
Real number (ℝ≥0)

ZEROS

Distinct count1032
Unique (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.962983
Minimum0
Maximum1.04762
Zeros48
Zeros (%)2.1%
Memory size18.0 KiB
2020-08-10T20:36:19.146777image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.951555
Q10.962419
median1
Q31
95-th percentile1
Maximum1.04762
Range1.04762
Interquartile range (IQR)0.0375807

Descriptive statistics

Standard deviation0.141922
Coefficient of variation (CV)0.147377
Kurtosis41.18
Mean0.962983
Median Absolute Deviation (MAD)0
Skewness-6.49042
Sum2224.49
Variance0.0201417
MonotocityNot monotonic
2020-08-10T20:36:19.479553image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1123253.3%
 
0482.1%
 
0.9624161< 0.1%
 
0.9624191< 0.1%
 
0.9964131< 0.1%
 
0.9624161< 0.1%
 
0.9074431< 0.1%
 
0.9624161< 0.1%
 
0.96251< 0.1%
 
0.9625061< 0.1%
 
Other values (1022)102244.2%
 
ValueCountFrequency (%) 
0482.1%
 
0.8634111< 0.1%
 
0.8634111< 0.1%
 
0.8634111< 0.1%
 
0.8634111< 0.1%
 
ValueCountFrequency (%) 
1.047621< 0.1%
 
1.047621< 0.1%
 
1.04181< 0.1%
 
1.04181< 0.1%
 
1.04121< 0.1%
 

Current marital status
Real number (ℝ≥0)

ZEROS

Distinct count1178
Unique (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.968314
Minimum0
Maximum4
Zeros292
Zeros (%)12.6%
Memory size18.0 KiB
2020-08-10T20:36:19.810786image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.968307
median0.968329
Q31
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0.0316927

Descriptive statistics

Standard deviation0.660347
Coefficient of variation (CV)0.681955
Kurtosis11.7117
Mean0.968314
Median Absolute Deviation (MAD)5.63462e-05
Skewness2.78149
Sum2236.81
Variance0.436059
MonotocityNot monotonic
2020-08-10T20:36:20.146419image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
175032.5%
 
029212.6%
 
4682.9%
 
3261.1%
 
0.9682951< 0.1%
 
0.9683251< 0.1%
 
0.9683221< 0.1%
 
0.9683621< 0.1%
 
0.9683411< 0.1%
 
0.9683511< 0.1%
 
Other values (1168)116850.6%
 
ValueCountFrequency (%) 
029212.6%
 
0.9682311< 0.1%
 
0.9682311< 0.1%
 
0.9682321< 0.1%
 
0.9682321< 0.1%
 
ValueCountFrequency (%) 
4682.9%
 
3261.1%
 
175032.5%
 
0.9683721< 0.1%
 
0.9683721< 0.1%
 

Currently, formerly, never married
Real number (ℝ≥0)

ZEROS

Distinct count1177
Unique (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.87276
Minimum0
Maximum2
Zeros292
Zeros (%)12.6%
Memory size18.0 KiB
2020-08-10T20:36:20.502994image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.871189
median0.953033
Q31
95-th percentile1.06276
Maximum2
Range2
Interquartile range (IQR)0.128811

Descriptive statistics

Standard deviation0.39543
Coefficient of variation (CV)0.453081
Kurtosis2.70613
Mean0.87276
Median Absolute Deviation (MAD)0.046967
Skewness-0.400311
Sum2016.07
Variance0.156365
MonotocityNot monotonic
2020-08-10T20:36:20.841170image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
175032.5%
 
029212.6%
 
2944.1%
 
0.9569491< 0.1%
 
0.8448811< 0.1%
 
0.885551< 0.1%
 
0.8192421< 0.1%
 
1.01121< 0.1%
 
0.9144511< 0.1%
 
0.9061361< 0.1%
 
Other values (1167)116750.5%
 
ValueCountFrequency (%) 
029212.6%
 
0.7344011< 0.1%
 
0.7344061< 0.1%
 
0.7550641< 0.1%
 
0.7550711< 0.1%
 
ValueCountFrequency (%) 
2944.1%
 
1.16831< 0.1%
 
1.16831< 0.1%
 
1.101451< 0.1%
 
1.101441< 0.1%
 
Distinct count6
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.673027
Minimum0
Maximum2
Zeros1530
Zeros (%)66.2%
Memory size18.0 KiB
2020-08-10T20:36:21.141700image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.94442
Coefficient of variation (CV)1.40324
Kurtosis-1.51929
Mean0.673027
Median Absolute Deviation (MAD)0
Skewness0.693032
Sum1554.69
Variance0.891928
MonotocityNot monotonic
2020-08-10T20:36:21.390259image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
0153066.2%
 
277633.6%
 
0.6730941< 0.1%
 
0.6730941< 0.1%
 
0.6730131< 0.1%
 
0.6730131< 0.1%
 
ValueCountFrequency (%) 
0153066.2%
 
0.6730131< 0.1%
 
0.6730131< 0.1%
 
0.6730941< 0.1%
 
0.6730941< 0.1%
 
ValueCountFrequency (%) 
277633.6%
 
0.6730941< 0.1%
 
0.6730941< 0.1%
 
0.6730131< 0.1%
 
0.6730131< 0.1%
 

highest level of education
Real number (ℝ)

ZEROS

Distinct count630
Unique (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.41149
Minimum-4.69753
Maximum9.94233
Zeros116
Zeros (%)5.0%
Memory size18.0 KiB
2020-08-10T20:36:21.699627image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-4.69753
5-th percentile0
Q11
median1
Q31.37546
95-th percentile4
Maximum9.94233
Range14.6399
Interquartile range (IQR)0.375464

Descriptive statistics

Standard deviation1.06323
Coefficient of variation (CV)0.753269
Kurtosis18.5251
Mean1.41149
Median Absolute Deviation (MAD)0
Skewness3.27575
Sum3260.55
Variance1.13047
MonotocityNot monotonic
2020-08-10T20:36:22.015208image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1116450.4%
 
224410.6%
 
01165.0%
 
4622.7%
 
5502.2%
 
3482.1%
 
820.1%
 
620.1%
 
1.375371< 0.1%
 
1.376161< 0.1%
 
Other values (620)62026.8%
 
ValueCountFrequency (%) 
-4.697531< 0.1%
 
-4.697531< 0.1%
 
01165.0%
 
1116450.4%
 
1.367671< 0.1%
 
ValueCountFrequency (%) 
9.942331< 0.1%
 
9.942331< 0.1%
 
9.942241< 0.1%
 
9.942241< 0.1%
 
9.941461< 0.1%
 

highest grade completed
Real number (ℝ)

ZEROS

Distinct count634
Unique (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.02834
Minimum-3.86141
Maximum7
Zeros196
Zeros (%)8.5%
Memory size18.0 KiB
2020-08-10T20:36:22.355898image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-3.86141
5-th percentile0
Q12
median3.04632
Q34
95-th percentile7
Maximum7
Range10.8614
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.82571
Coefficient of variation (CV)0.602875
Kurtosis0.218645
Mean3.02834
Median Absolute Deviation (MAD)1.04632
Skewness0.254344
Sum6995.46
Variance3.33322
MonotocityNot monotonic
2020-08-10T20:36:22.676162image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
228812.5%
 
127411.9%
 
426611.5%
 
325010.8%
 
01968.5%
 
61406.1%
 
71386.0%
 
51325.7%
 
3.046321< 0.1%
 
3.046321< 0.1%
 
Other values (624)62427.0%
 
ValueCountFrequency (%) 
-3.861411< 0.1%
 
-3.861411< 0.1%
 
-3.861411< 0.1%
 
-3.861411< 0.1%
 
-3.861411< 0.1%
 
ValueCountFrequency (%) 
71386.0%
 
61406.1%
 
51325.7%
 
4.144251< 0.1%
 
4.144251< 0.1%
 
Distinct count1540
Unique (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.777752
Minimum-37.0865
Maximum40.9314
Zeros78
Zeros (%)3.4%
Memory size18.0 KiB
2020-08-10T20:36:22.997516image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-37.0865
5-th percentile-5.61484
Q10.568181
median0.569185
Q31
95-th percentile8.13054
Maximum40.9314
Range78.0179
Interquartile range (IQR)0.431819

Descriptive statistics

Standard deviation5.72622
Coefficient of variation (CV)7.36252
Kurtosis21.8895
Mean0.777752
Median Absolute Deviation (MAD)0.430815
Skewness-0.581911
Sum1796.61
Variance32.7896
MonotocityNot monotonic
2020-08-10T20:36:23.332057image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
160226.1%
 
0783.4%
 
2642.8%
 
3140.6%
 
5100.4%
 
480.3%
 
-30.97611< 0.1%
 
0.568581< 0.1%
 
0.5685391< 0.1%
 
10.70971< 0.1%
 
Other values (1530)153066.2%
 
ValueCountFrequency (%) 
-37.08651< 0.1%
 
-37.08651< 0.1%
 
-37.08581< 0.1%
 
-37.08581< 0.1%
 
-37.08581< 0.1%
 
ValueCountFrequency (%) 
40.93141< 0.1%
 
40.93141< 0.1%
 
40.93061< 0.1%
 
40.93061< 0.1%
 
40.15161< 0.1%
 

birth registration
Real number (ℝ)

HIGH CORRELATION

Distinct count1871
Unique (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.46367e+06
Minimum-2.86401e+09
Maximum5.43196e+08
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:23.683259image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-2.86401e+09
5-th percentile-1.248e+08
Q11
median3.92747e+06
Q31.29352e+07
95-th percentile4.57369e+08
Maximum5.43196e+08
Range3.4072e+09
Interquartile range (IQR)1.29352e+07

Descriptive statistics

Standard deviation4.79997e+08
Coefficient of variation (CV)-74.2607
Kurtosis24.9991
Mean-6.46367e+06
Median Absolute Deviation (MAD)6.7558e+06
Skewness-4.72886
Sum-1.49311e+10
Variance2.30397e+17
MonotocityNot monotonic
2020-08-10T20:36:24.011086image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
425811.2%
 
1823.5%
 
2703.0%
 
3241.0%
 
8100.4%
 
3.40591e+071< 0.1%
 
2.95227e+061< 0.1%
 
-1.19916e+081< 0.1%
 
4.55511e+081< 0.1%
 
4.42143e+081< 0.1%
 
Other values (1861)186180.6%
 
ValueCountFrequency (%) 
-2.86401e+091< 0.1%
 
-2.86401e+091< 0.1%
 
-2.81325e+091< 0.1%
 
-2.81325e+091< 0.1%
 
-2.76168e+091< 0.1%
 
ValueCountFrequency (%) 
5.43196e+081< 0.1%
 
5.43196e+081< 0.1%
 
5.41988e+081< 0.1%
 
5.41988e+081< 0.1%
 
4.83492e+081< 0.1%
 

has a blanket
Real number (ℝ)

ZEROS

Distinct count1480
Unique (%)64.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.594446
Minimum-121.471
Maximum60.1658
Zeros456
Zeros (%)19.7%
Memory size18.0 KiB
2020-08-10T20:36:24.358352image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-121.471
5-th percentile-24.0136
Q10
median0.451887
Q30.534665
95-th percentile18.6575
Maximum60.1658
Range181.637
Interquartile range (IQR)0.534665

Descriptive statistics

Standard deviation13.5396
Coefficient of variation (CV)-22.7769
Kurtosis22.6479
Mean-0.594446
Median Absolute Deviation (MAD)0.451887
Skewness-2.5946
Sum-1373.17
Variance183.322
MonotocityNot monotonic
2020-08-10T20:36:24.677981image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
045619.7%
 
137616.3%
 
0.4518241< 0.1%
 
32.22151< 0.1%
 
-2.826891< 0.1%
 
15.8461< 0.1%
 
0.4489441< 0.1%
 
0.4520221< 0.1%
 
-0.09711471< 0.1%
 
-0.09924591< 0.1%
 
Other values (1470)147063.6%
 
ValueCountFrequency (%) 
-121.4711< 0.1%
 
-121.4711< 0.1%
 
-120.9251< 0.1%
 
-120.9251< 0.1%
 
-120.9221< 0.1%
 
ValueCountFrequency (%) 
60.16581< 0.1%
 
60.16581< 0.1%
 
54.6691< 0.1%
 
54.6691< 0.1%
 
54.18751< 0.1%
 

has a pair of shoes
Real number (ℝ)

ZEROS

Distinct count1480
Unique (%)64.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-25.4234
Minimum-3519.48
Maximum2727.16
Zeros474
Zeros (%)20.5%
Memory size18.0 KiB
2020-08-10T20:36:25.009876image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-3519.48
5-th percentile-808.711
Q10
median0.423338
Q31
95-th percentile591.531
Maximum2727.16
Range6246.65
Interquartile range (IQR)1

Descriptive statistics

Standard deviation460.876
Coefficient of variation (CV)-18.128
Kurtosis14.4539
Mean-25.4234
Median Absolute Deviation (MAD)0.576662
Skewness-0.98262
Sum-58728
Variance212407
MonotocityNot monotonic
2020-08-10T20:36:25.316870image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
047420.5%
 
135815.5%
 
0.430811< 0.1%
 
0.4252121< 0.1%
 
0.4230221< 0.1%
 
-0.6456991< 0.1%
 
0.3923721< 0.1%
 
-0.6718241< 0.1%
 
1369.591< 0.1%
 
21.54911< 0.1%
 
Other values (1470)147063.6%
 
ValueCountFrequency (%) 
-3519.481< 0.1%
 
-3519.481< 0.1%
 
-2651.841< 0.1%
 
-2651.841< 0.1%
 
-2601.91< 0.1%
 
ValueCountFrequency (%) 
2727.161< 0.1%
 
2727.161< 0.1%
 
2721.941< 0.1%
 
2721.941< 0.1%
 
2459.31< 0.1%
 

has atleast two sets of clothes
Real number (ℝ)

ZEROS

Distinct count1480
Unique (%)64.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.27242
Minimum-164.865
Maximum164.477
Zeros172
Zeros (%)7.4%
Memory size18.0 KiB
2020-08-10T20:36:25.644411image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-164.865
5-th percentile-18.7064
Q10.681151
median0.793239
Q31
95-th percentile36.2395
Maximum164.477
Range329.343
Interquartile range (IQR)0.318849

Descriptive statistics

Standard deviation20.5403
Coefficient of variation (CV)6.27678
Kurtosis22.2743
Mean3.27242
Median Absolute Deviation (MAD)0.206761
Skewness2.14759
Sum7559.29
Variance421.902
MonotocityNot monotonic
2020-08-10T20:36:25.952748image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
166028.6%
 
01727.4%
 
0.6808231< 0.1%
 
164.4741< 0.1%
 
0.7930411< 0.1%
 
-11.64271< 0.1%
 
0.7933341< 0.1%
 
0.6779971< 0.1%
 
22.54941< 0.1%
 
0.7929841< 0.1%
 
Other values (1470)147063.6%
 
ValueCountFrequency (%) 
-164.8651< 0.1%
 
-164.8651< 0.1%
 
-86.4331< 0.1%
 
-86.4331< 0.1%
 
-86.41351< 0.1%
 
ValueCountFrequency (%) 
164.4771< 0.1%
 
164.4771< 0.1%
 
164.4741< 0.1%
 
164.4741< 0.1%
 
164.4741< 0.1%
 
Distinct count254
Unique (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.08817
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:26.291619image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.08817
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0.088172

Descriptive statistics

Standard deviation0.277291
Coefficient of variation (CV)0.254823
Kurtosis17.6453
Mean1.08817
Median Absolute Deviation (MAD)0
Skewness4.06125
Sum2513.68
Variance0.0768903
MonotocityNot monotonic
2020-08-10T20:36:26.636678image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1171074.0%
 
21365.9%
 
3140.6%
 
1.0881720.1%
 
1.0881720.1%
 
1.0881720.1%
 
1.0881720.1%
 
1.0881720.1%
 
1.0881720.1%
 
1.0881720.1%
 
Other values (244)43618.9%
 
ValueCountFrequency (%) 
1171074.0%
 
1.0881720.1%
 
1.0881720.1%
 
1.0881720.1%
 
1.0881720.1%
 
ValueCountFrequency (%) 
3140.6%
 
21365.9%
 
1.0881720.1%
 
1.0881720.1%
 
1.0881720.1%
 
Distinct count453
Unique (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.05046
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:26.996370image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.05214
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.20941
Coefficient of variation (CV)0.199352
Kurtosis31.6209
Mean1.05046
Median Absolute Deviation (MAD)0
Skewness5.4015
Sum2426.55
Variance0.0438526
MonotocityNot monotonic
2020-08-10T20:36:27.332177image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1177276.7%
 
2823.5%
 
360.3%
 
1.049051< 0.1%
 
1.051931< 0.1%
 
1.050481< 0.1%
 
1.049981< 0.1%
 
1.051561< 0.1%
 
1.049361< 0.1%
 
1.050861< 0.1%
 
Other values (443)44319.2%
 
ValueCountFrequency (%) 
1177276.7%
 
1.000291< 0.1%
 
1.000291< 0.1%
 
1.040561< 0.1%
 
1.040571< 0.1%
 
ValueCountFrequency (%) 
360.3%
 
2823.5%
 
1.053971< 0.1%
 
1.053971< 0.1%
 
1.053951< 0.1%
 
Distinct count454
Unique (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.07096
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:27.682439image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.07175
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.268638
Coefficient of variation (CV)0.250839
Kurtosis33.5839
Mean1.07096
Median Absolute Deviation (MAD)0
Skewness5.36305
Sum2473.92
Variance0.0721665
MonotocityNot monotonic
2020-08-10T20:36:28.000325image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1174875.7%
 
2944.1%
 
3160.7%
 
420.1%
 
1.071151< 0.1%
 
1.070971< 0.1%
 
1.071161< 0.1%
 
1.071551< 0.1%
 
1.071111< 0.1%
 
1.070941< 0.1%
 
Other values (444)44419.2%
 
ValueCountFrequency (%) 
1174875.7%
 
1.064811< 0.1%
 
1.064821< 0.1%
 
1.069981< 0.1%
 
1.069991< 0.1%
 
ValueCountFrequency (%) 
420.1%
 
3160.7%
 
2944.1%
 
1.071871< 0.1%
 
1.071871< 0.1%
 
Distinct count454
Unique (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.08595
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:28.336580image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.08433
95-th percentile2
Maximum8
Range7
Interquartile range (IQR)0.0843306

Descriptive statistics

Standard deviation0.337004
Coefficient of variation (CV)0.310332
Kurtosis160.768
Mean1.08595
Median Absolute Deviation (MAD)0
Skewness9.73066
Sum2508.54
Variance0.113572
MonotocityNot monotonic
2020-08-10T20:36:28.646998image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1172874.8%
 
21144.9%
 
3160.7%
 
820.1%
 
1.086271< 0.1%
 
1.085071< 0.1%
 
1.08561< 0.1%
 
1.086041< 0.1%
 
1.086151< 0.1%
 
1.085371< 0.1%
 
Other values (444)44419.2%
 
ValueCountFrequency (%) 
1172874.8%
 
1.084131< 0.1%
 
1.084131< 0.1%
 
1.084311< 0.1%
 
1.084321< 0.1%
 
ValueCountFrequency (%) 
820.1%
 
3160.7%
 
21144.9%
 
1.092051< 0.1%
 
1.092041< 0.1%
 

difficulty with self care
Real number (ℝ≥0)

Distinct count454
Unique (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.09781
Minimum0.691661
Maximum6.74749
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:28.971292image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0.691661
5-th percentile0.995551
Q11
median1
Q31
95-th percentile1.26799
Maximum6.74749
Range6.05583
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.490607
Coefficient of variation (CV)0.446895
Kurtosis57.021
Mean1.09781
Median Absolute Deviation (MAD)0
Skewness7.13881
Sum2535.95
Variance0.240696
MonotocityNot monotonic
2020-08-10T20:36:29.282529image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1179077.5%
 
2462.0%
 
4160.7%
 
380.3%
 
1.139371< 0.1%
 
0.7853191< 0.1%
 
1.043261< 0.1%
 
2.223211< 0.1%
 
0.9734971< 0.1%
 
1.187751< 0.1%
 
Other values (444)44419.2%
 
ValueCountFrequency (%) 
0.6916611< 0.1%
 
0.6916621< 0.1%
 
0.7199151< 0.1%
 
0.7199151< 0.1%
 
0.7272621< 0.1%
 
ValueCountFrequency (%) 
6.747491< 0.1%
 
6.747491< 0.1%
 
5.546541< 0.1%
 
5.546541< 0.1%
 
5.487731< 0.1%
 
Distinct count2026
Unique (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.3571
Minimum-1605.33
Maximum1458.33
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:29.612569image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-1605.33
5-th percentile-175.871
Q113.0451
median15.7342
Q353.5152
95-th percentile312.707
Maximum1458.33
Range3063.66
Interquartile range (IQR)40.4701

Descriptive statistics

Standard deviation242.034
Coefficient of variation (CV)7.71865
Kurtosis13.6317
Mean31.3571
Median Absolute Deviation (MAD)9.03424
Skewness0.615368
Sum72434.9
Variance58580.6
MonotocityNot monotonic
2020-08-10T20:36:29.923733image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
99.94361.6%
 
99.95100.4%
 
5.6180.3%
 
5.8980.3%
 
5.8860.3%
 
5.8760.3%
 
4.8860.3%
 
5.2160.3%
 
5.0460.3%
 
5.260.3%
 
Other values (2016)221295.8%
 
ValueCountFrequency (%) 
-1605.331< 0.1%
 
-1605.331< 0.1%
 
-1152.271< 0.1%
 
-1152.271< 0.1%
 
-1103.991< 0.1%
 
ValueCountFrequency (%) 
1458.331< 0.1%
 
1458.331< 0.1%
 
1398.891< 0.1%
 
1398.891< 0.1%
 
1339.061< 0.1%
 

Woman's height in centimeters (1 decimal)
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count2015
Unique (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2538.41
Minimum967
Maximum9996
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:30.267161image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum967
5-th percentile1561
Q12497.15
median2532.2
Q32532.92
95-th percentile2724.4
Maximum9996
Range9029
Interquartile range (IQR)35.7733

Descriptive statistics

Standard deviation1144.45
Coefficient of variation (CV)0.450854
Kurtosis34.6231
Mean2538.41
Median Absolute Deviation (MAD)11.1215
Skewness5.65767
Sum5.86372e+06
Variance1.30977e+06
MonotocityNot monotonic
2020-08-10T20:36:30.583227image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9994361.6%
 
9995100.4%
 
159380.3%
 
160360.3%
 
158660.3%
 
159960.3%
 
161460.3%
 
167560.3%
 
156160.3%
 
159660.3%
 
Other values (2005)221495.8%
 
ValueCountFrequency (%) 
96720.1%
 
143520.1%
 
143640.2%
 
143720.1%
 
144920.1%
 
ValueCountFrequency (%) 
999620.1%
 
9995100.4%
 
9994361.6%
 
3118.811< 0.1%
 
3118.811< 0.1%
 
Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2310 
ValueCountFrequency (%) 
02310100.0%
 

Body Mass Index
Real number (ℝ)

Distinct count2099
Unique (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.7129
Minimum-130.378
Maximum172.079
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:30.903797image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-130.378
5-th percentile-28.8223
Q121.3575
median22.7212
Q322.8992
95-th percentile44.1934
Maximum172.079
Range302.457
Interquartile range (IQR)1.54167

Descriptive statistics

Standard deviation27.195
Coefficient of variation (CV)1.45328
Kurtosis9.81384
Mean18.7129
Median Absolute Deviation (MAD)0.17804
Skewness-0.359788
Sum43226.8
Variance739.568
MonotocityNot monotonic
2020-08-10T20:36:31.208266image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20.5180.3%
 
20.4960.3%
 
19.6840.2%
 
25.9740.2%
 
27.2840.2%
 
19.0740.2%
 
17.3440.2%
 
19.3840.2%
 
22.0240.2%
 
21.5440.2%
 
Other values (2089)226498.0%
 
ValueCountFrequency (%) 
-130.3781< 0.1%
 
-130.3781< 0.1%
 
-130.21< 0.1%
 
-130.21< 0.1%
 
-129.491< 0.1%
 
ValueCountFrequency (%) 
172.0791< 0.1%
 
172.0791< 0.1%
 
163.6541< 0.1%
 
163.6541< 0.1%
 
148.1531< 0.1%
 

Rohrer's index
Real number (ℝ≥0)

Distinct count2096
Unique (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1399.04
Minimum378.174
Maximum9998
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:31.540651image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum378.174
5-th percentile1067.09
Q11416.03
median1417.89
Q31428.66
95-th percentile1659.74
Maximum9998
Range9619.83
Interquartile range (IQR)12.6304

Descriptive statistics

Standard deviation320.458
Coefficient of variation (CV)0.229055
Kurtosis448.952
Mean1399.04
Median Absolute Deviation (MAD)10.1398
Skewness16.71
Sum3.23179e+06
Variance102693
MonotocityNot monotonic
2020-08-10T20:36:31.874099image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
129660.3%
 
114060.3%
 
144160.3%
 
132360.3%
 
164860.3%
 
136340.2%
 
124040.2%
 
127940.2%
 
145540.2%
 
133740.2%
 
Other values (2086)226097.8%
 
ValueCountFrequency (%) 
378.1741< 0.1%
 
378.1741< 0.1%
 
413.4011< 0.1%
 
413.4011< 0.1%
 
494.5451< 0.1%
 
ValueCountFrequency (%) 
999820.1%
 
2713.951< 0.1%
 
2713.951< 0.1%
 
2695.111< 0.1%
 
2695.111< 0.1%
 

Hemoglobin level (g/dl - 1 decimal)
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1949
Unique (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.515
Minimum69
Maximum996
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:32.203576image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum69
5-th percentile124
Q1251.518
median251.519
Q3251.53
95-th percentile251.819
Maximum996
Range927
Interquartile range (IQR)0.0121751

Descriptive statistics

Standard deviation129.346
Coefficient of variation (CV)0.514269
Kurtosis25.5031
Mean251.515
Median Absolute Deviation (MAD)0.0101519
Skewness4.791
Sum581000
Variance16730.5
MonotocityNot monotonic
2020-08-10T20:36:32.519838image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
994301.3%
 
995281.2%
 
145180.8%
 
131160.7%
 
139160.7%
 
140140.6%
 
130140.6%
 
141140.6%
 
125120.5%
 
147100.4%
 
Other values (1939)213892.6%
 
ValueCountFrequency (%) 
6920.1%
 
8220.1%
 
8720.1%
 
9020.1%
 
9320.1%
 
ValueCountFrequency (%) 
99620.1%
 
995281.2%
 
994301.3%
 
252.4311< 0.1%
 
252.4311< 0.1%
 

Currently pregnant
Real number (ℝ)

ZEROS

Distinct count1882
Unique (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.137192
Minimum-0.637085
Maximum1.22947
Zeros378
Zeros (%)16.4%
Memory size18.0 KiB
2020-08-10T20:36:32.840859image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-0.637085
5-th percentile0
Q10.120623
median0.120972
Q30.131874
95-th percentile0.515067
Maximum1.22947
Range1.86655
Interquartile range (IQR)0.0112502

Descriptive statistics

Standard deviation0.188744
Coefficient of variation (CV)1.37577
Kurtosis12.4198
Mean0.137192
Median Absolute Deviation (MAD)0.00899598
Skewness3.10378
Sum316.913
Variance0.0356245
MonotocityNot monotonic
2020-08-10T20:36:33.167169image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
037816.4%
 
1522.3%
 
0.1209871< 0.1%
 
0.1209061< 0.1%
 
0.1211021< 0.1%
 
0.1207691< 0.1%
 
0.1208241< 0.1%
 
0.1210791< 0.1%
 
0.1209721< 0.1%
 
0.121021< 0.1%
 
Other values (1872)187281.0%
 
ValueCountFrequency (%) 
-0.6370851< 0.1%
 
-0.6370851< 0.1%
 
-0.6075521< 0.1%
 
-0.6075521< 0.1%
 
-0.3057411< 0.1%
 
ValueCountFrequency (%) 
1.229471< 0.1%
 
1.229471< 0.1%
 
1.223861< 0.1%
 
1.223861< 0.1%
 
1.059631< 0.1%
 
Distinct count2004
Unique (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.689
Minimum67
Maximum1014.79
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:33.515855image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile122
Q1246.295
median248.272
Q3248.286
95-th percentile275.059
Maximum1014.79
Range947.786
Interquartile range (IQR)1.99101

Descriptive statistics

Standard deviation129.377
Coefficient of variation (CV)0.518152
Kurtosis25.1989
Mean249.689
Median Absolute Deviation (MAD)0.986963
Skewness4.74543
Sum576782
Variance16738.4
MonotocityNot monotonic
2020-08-10T20:36:33.835678image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
137160.7%
 
145160.7%
 
123160.7%
 
138140.6%
 
128140.6%
 
139140.6%
 
129120.5%
 
136120.5%
 
131120.5%
 
119100.4%
 
Other values (1994)217494.1%
 
ValueCountFrequency (%) 
6720.1%
 
8020.1%
 
8520.1%
 
8820.1%
 
9140.2%
 
ValueCountFrequency (%) 
1014.791< 0.1%
 
1014.791< 0.1%
 
1011.711< 0.1%
 
1011.711< 0.1%
 
1011.051< 0.1%
 

Anemia level
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count1943
Unique (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262.254
Minimum1
Maximum1886.45
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:34.157890image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q1256.53
median261.702
Q3261.766
95-th percentile278.325
Maximum1886.45
Range1885.45
Interquartile range (IQR)5.23605

Descriptive statistics

Standard deviation276.247
Coefficient of variation (CV)1.05336
Kurtosis25.6632
Mean262.254
Median Absolute Deviation (MAD)1.72284
Skewness4.8211
Sum605808
Variance76312.5
MonotocityNot monotonic
2020-08-10T20:36:34.478842image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
427211.8%
 
3743.2%
 
2200.9%
 
261.70220.1%
 
261.70220.1%
 
261.70220.1%
 
120.1%
 
261.7021< 0.1%
 
261.7021< 0.1%
 
294.4451< 0.1%
 
Other values (1933)193383.7%
 
ValueCountFrequency (%) 
120.1%
 
2200.9%
 
3743.2%
 
427211.8%
 
2311< 0.1%
 
ValueCountFrequency (%) 
1886.451< 0.1%
 
1886.451< 0.1%
 
1886.431< 0.1%
 
1886.431< 0.1%
 
1876.321< 0.1%
 

Marital status
Real number (ℝ)

HIGH CORRELATION

Distinct count2270
Unique (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.847124
Minimum-7.55375
Maximum6.14737
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:34.815506image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-7.55375
5-th percentile-1.91924
Q10.672978
median1.01176
Q31.36568
95-th percentile1.88722
Maximum6.14737
Range13.7011
Interquartile range (IQR)0.692699

Descriptive statistics

Standard deviation1.08952
Coefficient of variation (CV)1.28614
Kurtosis16.108
Mean0.847124
Median Absolute Deviation (MAD)0.349732
Skewness-3.08495
Sum1956.86
Variance1.18706
MonotocityNot monotonic
2020-08-10T20:36:36.220737image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1401.7%
 
220.1%
 
0.1742321< 0.1%
 
1.001381< 0.1%
 
0.7354551< 0.1%
 
-1.982871< 0.1%
 
1.127931< 0.1%
 
1.052921< 0.1%
 
1.282111< 0.1%
 
0.1332861< 0.1%
 
Other values (2260)226097.8%
 
ValueCountFrequency (%) 
-7.553751< 0.1%
 
-7.553751< 0.1%
 
-7.30411< 0.1%
 
-7.30411< 0.1%
 
-6.993641< 0.1%
 
ValueCountFrequency (%) 
6.147371< 0.1%
 
6.147371< 0.1%
 
3.51111< 0.1%
 
3.51111< 0.1%
 
3.140581< 0.1%
 

Woman's highest educational level
Real number (ℝ)

ZEROS

Distinct count1884
Unique (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.4077
Minimum-3408.13
Maximum3926.57
Zeros60
Zeros (%)2.6%
Memory size18.0 KiB
2020-08-10T20:36:36.552897image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-3408.13
5-th percentile-93.6646
Q11
median2
Q34.08415
95-th percentile758.507
Maximum3926.57
Range7334.7
Interquartile range (IQR)3.08415

Descriptive statistics

Standard deviation588.095
Coefficient of variation (CV)12.6724
Kurtosis22.1212
Mean46.4077
Median Absolute Deviation (MAD)1.19861
Skewness1.56957
Sum107202
Variance345856
MonotocityNot monotonic
2020-08-10T20:36:36.872900image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
124210.5%
 
21044.5%
 
0602.6%
 
3241.0%
 
14.4521< 0.1%
 
1.769791< 0.1%
 
15.61911< 0.1%
 
4.344041< 0.1%
 
13.81611< 0.1%
 
2.475071< 0.1%
 
Other values (1874)187481.1%
 
ValueCountFrequency (%) 
-3408.131< 0.1%
 
-3408.131< 0.1%
 
-3348.541< 0.1%
 
-3348.541< 0.1%
 
-3304.191< 0.1%
 
ValueCountFrequency (%) 
3926.571< 0.1%
 
3926.571< 0.1%
 
3918.631< 0.1%
 
3918.631< 0.1%
 
3918.631< 0.1%
 

Birth order number
Real number (ℝ)

HIGH CORRELATION

Distinct count1948
Unique (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10794.2
Minimum-1.29789e+08
Maximum5.82405e+08
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:37.214689image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-1.29789e+08
5-th percentile-9.45977e+07
Q1-103184
median4.25439
Q332135.3
95-th percentile412760
Maximum5.82405e+08
Range7.12194e+08
Interquartile range (IQR)135319

Descriptive statistics

Standard deviation1.00633e+08
Coefficient of variation (CV)9322.87
Kurtosis25.6513
Mean10794.2
Median Absolute Deviation (MAD)48965.7
Skewness4.81871
Sum2.49345e+07
Variance1.01269e+16
MonotocityNot monotonic
2020-08-10T20:36:37.540611image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2642.8%
 
3602.6%
 
1562.4%
 
4562.4%
 
5381.6%
 
7241.0%
 
6241.0%
 
8200.9%
 
9160.7%
 
10100.4%
 
Other values (1938)194284.1%
 
ValueCountFrequency (%) 
-1.29789e+081< 0.1%
 
-1.29789e+081< 0.1%
 
-9.83609e+071< 0.1%
 
-9.83609e+071< 0.1%
 
-9.80408e+071< 0.1%
 
ValueCountFrequency (%) 
5.82405e+081< 0.1%
 
5.82405e+081< 0.1%
 
5.82316e+081< 0.1%
 
5.82316e+081< 0.1%
 
5.81808e+081< 0.1%
 

BMI standard deviation (new WHO)
Real number (ℝ)

HIGH CORRELATION

Distinct count2058
Unique (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.56036e+08
Minimum-2.66177e+10
Maximum1.30833e+10
Zeros2
Zeros (%)0.1%
Memory size18.0 KiB
2020-08-10T20:36:37.886939image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-2.66177e+10
5-th percentile-1.83136e+09
Q1-4.06918e+08
median-64
Q31.11755e+08
95-th percentile3.0698e+09
Maximum1.30833e+10
Range3.9701e+10
Interquartile range (IQR)5.18672e+08

Descriptive statistics

Standard deviation3.71373e+09
Coefficient of variation (CV)-14.5047
Kurtosis30.9471
Mean-2.56036e+08
Median Absolute Deviation (MAD)3.62179e+08
Skewness-5.17848
Sum-5.91444e+11
Variance1.37918e+19
MonotocityNot monotonic
2020-08-10T20:36:38.216026image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9998120.5%
 
-4980.3%
 
4860.3%
 
4360.3%
 
4460.3%
 
-4760.3%
 
-11940.2%
 
17940.2%
 
14240.2%
 
9340.2%
 
Other values (2048)225097.4%
 
ValueCountFrequency (%) 
-2.66177e+101< 0.1%
 
-2.66177e+101< 0.1%
 
-2.49519e+101< 0.1%
 
-2.49519e+101< 0.1%
 
-2.48333e+101< 0.1%
 
ValueCountFrequency (%) 
1.30833e+101< 0.1%
 
1.30833e+101< 0.1%
 
5.1039e+091< 0.1%
 
5.1039e+091< 0.1%
 
4.02327e+091< 0.1%
 

Man's weight in kilograms (1 decimal)
Real number (ℝ)

HIGH CORRELATION

Distinct count1845
Unique (%)79.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.4925
Minimum-762.777
Maximum150.767
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:38.563812image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-762.777
5-th percentile4.9345
Q16.75
median11.1446
Q312.2458
95-th percentile137.632
Maximum150.767
Range913.544
Interquartile range (IQR)5.4958

Descriptive statistics

Standard deviation134.508
Coefficient of variation (CV)11.704
Kurtosis25.1912
Mean11.4925
Median Absolute Deviation (MAD)1.73989
Skewness-4.75602
Sum26547.7
Variance18092.4
MonotocityNot monotonic
2020-08-10T20:36:38.880600image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
99.94221.0%
 
99.95100.4%
 
5.3380.3%
 
6.4380.3%
 
5.9480.3%
 
5.9580.3%
 
99.9680.3%
 
5.980.3%
 
6.0860.3%
 
5.6160.3%
 
Other values (1835)221896.0%
 
ValueCountFrequency (%) 
-762.7771< 0.1%
 
-762.7771< 0.1%
 
-761.7361< 0.1%
 
-761.7361< 0.1%
 
-760.6481< 0.1%
 
ValueCountFrequency (%) 
150.7671< 0.1%
 
150.7671< 0.1%
 
149.5581< 0.1%
 
149.5581< 0.1%
 
139.9471< 0.1%
 

Man's height in centimeters (1 decimal)
Real number (ℝ)

HIGH CORRELATION

Distinct count1837
Unique (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1931.25
Minimum-8.00175e+07
Maximum3.80321e+08
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:39.197047image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-8.00175e+07
5-th percentile-6.18316e+07
Q11667
median2199.4
Q32199.52
95-th percentile2199.74
Maximum3.80321e+08
Range4.60338e+08
Interquartile range (IQR)532.524

Descriptive statistics

Standard deviation6.57638e+07
Coefficient of variation (CV)34052.4
Kurtosis25.6446
Mean1931.25
Median Absolute Deviation (MAD)0.248865
Skewness4.81805
Sum4.46119e+06
Variance4.32488e+15
MonotocityNot monotonic
2020-08-10T20:36:39.536425image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9994221.0%
 
1650120.5%
 
1670100.4%
 
1732100.4%
 
9995100.4%
 
173580.3%
 
164580.3%
 
166780.3%
 
999680.3%
 
166580.3%
 
Other values (1827)220695.5%
 
ValueCountFrequency (%) 
-8.00175e+071< 0.1%
 
-8.00175e+071< 0.1%
 
-6.39448e+071< 0.1%
 
-6.39448e+071< 0.1%
 
-6.37986e+071< 0.1%
 
ValueCountFrequency (%) 
3.80321e+081< 0.1%
 
3.80321e+081< 0.1%
 
3.79815e+081< 0.1%
 
3.79815e+081< 0.1%
 
3.7981e+081< 0.1%
 

Completeness of HB32 information
Real number (ℝ)

HIGH CORRELATION

Distinct count1649
Unique (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.62378
Minimum-2640.2
Maximum11266.9
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:39.861617image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-2640.2
5-th percentile-1910.68
Q11
median1.58051
Q31.58912
95-th percentile3
Maximum11266.9
Range13907.1
Interquartile range (IQR)0.589124

Descriptive statistics

Standard deviation1945.8
Coefficient of variation (CV)1198.32
Kurtosis25.5244
Mean1.62378
Median Absolute Deviation (MAD)0.011002
Skewness4.79512
Sum3750.93
Variance3.78615e+06
MonotocityNot monotonic
2020-08-10T20:36:40.168883image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
152022.5%
 
31104.8%
 
6341.5%
 
-2180.761< 0.1%
 
1.59141< 0.1%
 
1.579611< 0.1%
 
1.583381< 0.1%
 
-1458.261< 0.1%
 
-1604.261< 0.1%
 
1.589221< 0.1%
 
Other values (1639)163971.0%
 
ValueCountFrequency (%) 
-2640.21< 0.1%
 
-2640.21< 0.1%
 
-2483.191< 0.1%
 
-2483.191< 0.1%
 
-2420.791< 0.1%
 
ValueCountFrequency (%) 
11266.91< 0.1%
 
11266.91< 0.1%
 
11263.51< 0.1%
 
11263.51< 0.1%
 
11243.71< 0.1%
 

Smoking (cigarettes in last 24 hours) 1
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct count1685
Unique (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.63958
Minimum-136181
Maximum612659
Zeros550
Zeros (%)23.8%
Memory size18.0 KiB
2020-08-10T20:36:40.501610image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-136181
5-th percentile-103440
Q10
median0.842607
Q31.3664
95-th percentile9.50263
Maximum612659
Range748840
Interquartile range (IQR)1.3664

Descriptive statistics

Standard deviation105662
Coefficient of variation (CV)29031.4
Kurtosis25.5754
Mean3.63958
Median Absolute Deviation (MAD)0.842607
Skewness4.8027
Sum8407.43
Variance1.11644e+10
MonotocityNot monotonic
2020-08-10T20:36:40.821076image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
055023.8%
 
2241.0%
 
3100.4%
 
10100.4%
 
1100.4%
 
480.3%
 
580.3%
 
9460.3%
 
640.2%
 
720.1%
 
Other values (1675)167872.6%
 
ValueCountFrequency (%) 
-1361811< 0.1%
 
-1361811< 0.1%
 
-1283531< 0.1%
 
-1283531< 0.1%
 
-1253781< 0.1%
 
ValueCountFrequency (%) 
6126591< 0.1%
 
6126591< 0.1%
 
6118591< 0.1%
 
6118591< 0.1%
 
6118501< 0.1%
 

Man's highest educational level
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct count1650
Unique (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.54064
Minimum-7799.26
Maximum32784.3
Zeros34
Zeros (%)1.5%
Memory size18.0 KiB
2020-08-10T20:36:41.161966image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-7799.26
5-th percentile-5580.8
Q11
median1.47994
Q31.49141
95-th percentile3
Maximum32784.3
Range40583.6
Interquartile range (IQR)0.491409

Descriptive statistics

Standard deviation5679.83
Coefficient of variation (CV)3686.67
Kurtosis25.5241
Mean1.54064
Median Absolute Deviation (MAD)0.0172716
Skewness4.79481
Sum3558.88
Variance3.22605e+07
MonotocityNot monotonic
2020-08-10T20:36:41.481576image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
135815.5%
 
21868.1%
 
3863.7%
 
0341.5%
 
1.484771< 0.1%
 
1.472441< 0.1%
 
1.490121< 0.1%
 
1.495381< 0.1%
 
-4680.551< 0.1%
 
-6351.451< 0.1%
 
Other values (1640)164071.0%
 
ValueCountFrequency (%) 
-7799.261< 0.1%
 
-7799.261< 0.1%
 
-7277.041< 0.1%
 
-7277.041< 0.1%
 
-7076.651< 0.1%
 
ValueCountFrequency (%) 
32784.31< 0.1%
 
32784.31< 0.1%
 
32740.51< 0.1%
 
32740.51< 0.1%
 
32740.51< 0.1%
 
Distinct count1649
Unique (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.34829
Minimum-386.946
Maximum167.209
Zeros34
Zeros (%)1.5%
Memory size18.0 KiB
2020-08-10T20:36:41.815672image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-386.946
5-th percentile1
Q11.35486
median1.35682
Q32
95-th percentile59.8413
Maximum167.209
Range554.155
Interquartile range (IQR)0.64514

Descriptive statistics

Standard deviation62.5516
Coefficient of variation (CV)46.3933
Kurtosis28.6414
Mean1.34829
Median Absolute Deviation (MAD)0.00286278
Skewness-5.03171
Sum3114.55
Variance3912.71
MonotocityNot monotonic
2020-08-10T20:36:42.119493image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
135815.5%
 
227211.8%
 
0341.5%
 
1.355361< 0.1%
 
63.11331< 0.1%
 
1.356321< 0.1%
 
56.20851< 0.1%
 
57.59011< 0.1%
 
1.355971< 0.1%
 
1.358111< 0.1%
 
Other values (1639)163971.0%
 
ValueCountFrequency (%) 
-386.9461< 0.1%
 
-386.9461< 0.1%
 
-386.6111< 0.1%
 
-386.6111< 0.1%
 
-386.6111< 0.1%
 
ValueCountFrequency (%) 
167.2091< 0.1%
 
167.2091< 0.1%
 
68.34061< 0.1%
 
68.34061< 0.1%
 
67.76621< 0.1%
 

Corrected age from Individual file
Real number (ℝ≥0)

ZEROS

Distinct count70
Unique (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.7108
Minimum0
Maximum87
Zeros92
Zeros (%)4.0%
Memory size18.0 KiB
2020-08-10T20:36:42.450895image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median14
Q328
95-th percentile47.55
Maximum87
Range87
Interquartile range (IQR)22

Descriptive statistics

Standard deviation15.5173
Coefficient of variation (CV)0.829321
Kurtosis0.867322
Mean18.7108
Median Absolute Deviation (MAD)10
Skewness0.998606
Sum43222
Variance240.786
MonotocityNot monotonic
2020-08-10T20:36:42.761899image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
61084.7%
 
3984.2%
 
1944.1%
 
0924.0%
 
4843.6%
 
12843.6%
 
2843.6%
 
8823.5%
 
7763.3%
 
10723.1%
 
Other values (60)143662.2%
 
ValueCountFrequency (%) 
0924.0%
 
1944.1%
 
2843.6%
 
3984.2%
 
4843.6%
 
ValueCountFrequency (%) 
8720.1%
 
8520.1%
 
8320.1%
 
8120.1%
 
8020.1%
 
Distinct count1910
Unique (%)82.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.133942
Minimum-0.482919
Maximum1.12096
Zeros348
Zeros (%)15.1%
Memory size18.0 KiB
2020-08-10T20:36:43.082252image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-0.482919
5-th percentile0
Q10.115166
median0.120931
Q30.120955
95-th percentile0.387951
Maximum1.12096
Range1.60388
Interquartile range (IQR)0.00578869

Descriptive statistics

Standard deviation0.172338
Coefficient of variation (CV)1.28666
Kurtosis16.6112
Mean0.133942
Median Absolute Deviation (MAD)0.0023672
Skewness3.74822
Sum309.406
Variance0.0297002
MonotocityNot monotonic
2020-08-10T20:36:43.410954image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
034815.1%
 
1542.3%
 
0.1336041< 0.1%
 
0.1190671< 0.1%
 
0.1506341< 0.1%
 
0.1209261< 0.1%
 
0.1210421< 0.1%
 
0.1209431< 0.1%
 
0.1181411< 0.1%
 
0.2472961< 0.1%
 
Other values (1900)190082.3%
 
ValueCountFrequency (%) 
-0.4829191< 0.1%
 
-0.4829191< 0.1%
 
-0.152631< 0.1%
 
-0.152631< 0.1%
 
-0.1499671< 0.1%
 
ValueCountFrequency (%) 
1.120961< 0.1%
 
1.120961< 0.1%
 
1.120951< 0.1%
 
1.120951< 0.1%
 
1.120941< 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1544 
1
766 
ValueCountFrequency (%) 
0154466.8%
 
176633.2%
 

Person slept under an LLIN net
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1558 
1
752 
ValueCountFrequency (%) 
0155867.4%
 
175232.6%
 

Current marital status - Vitamin A test
Real number (ℝ)

HIGH CORRELATION

Distinct count2272
Unique (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.873757
Minimum-3.59267
Maximum2.73399
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:43.756377image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-3.59267
5-th percentile-2.61206
Q10.755052
median1.02917
Q31.41419
95-th percentile1.9835
Maximum2.73399
Range6.32666
Interquartile range (IQR)0.659135

Descriptive statistics

Standard deviation1.06702
Coefficient of variation (CV)1.22119
Kurtosis6.92631
Mean0.873757
Median Absolute Deviation (MAD)0.318557
Skewness-2.53726
Sum2018.38
Variance1.13854
MonotocityNot monotonic
2020-08-10T20:36:44.063135image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1381.6%
 
220.1%
 
1.11791< 0.1%
 
0.2573331< 0.1%
 
0.6871431< 0.1%
 
1.111021< 0.1%
 
1.711181< 0.1%
 
0.9294851< 0.1%
 
1.463851< 0.1%
 
0.3816391< 0.1%
 
Other values (2262)226297.9%
 
ValueCountFrequency (%) 
-3.592671< 0.1%
 
-3.592671< 0.1%
 
-3.447751< 0.1%
 
-3.447751< 0.1%
 
-3.354181< 0.1%
 
ValueCountFrequency (%) 
2.733991< 0.1%
 
2.733991< 0.1%
 
2.726641< 0.1%
 
2.726641< 0.1%
 
2.711071< 0.1%
 

Current marital status - additional tests
Real number (ℝ)

HIGH CORRELATION

Distinct count1288
Unique (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.814246
Minimum-3.83823
Maximum2.25622
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:44.393026image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-3.83823
5-th percentile-2.5721
Q10.70556
median1
Q31.29534
95-th percentile1.78534
Maximum2.25622
Range6.09445
Interquartile range (IQR)0.58978

Descriptive statistics

Standard deviation1.04736
Coefficient of variation (CV)1.2863
Kurtosis7.96932
Mean0.814246
Median Absolute Deviation (MAD)0.295319
Skewness-2.73536
Sum1880.91
Variance1.09697
MonotocityNot monotonic
2020-08-10T20:36:44.712428image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1381.6%
 
1.1290320.1%
 
0.93250720.1%
 
1.259720.1%
 
0.94801920.1%
 
1.4073320.1%
 
1.4933220.1%
 
1.171120.1%
 
1.4604520.1%
 
0.56256420.1%
 
Other values (1278)225497.6%
 
ValueCountFrequency (%) 
-3.8382320.1%
 
-3.8192520.1%
 
-3.811720.1%
 
-3.7488220.1%
 
-3.7437320.1%
 
ValueCountFrequency (%) 
2.2562220.1%
 
2.2065620.1%
 
2.1960720.1%
 
2.1651620.1%
 
2.1637220.1%
 

Age_of_wife/partner
Real number (ℝ≥0)

Distinct count350
Unique (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.6335
Minimum17
Maximum54
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:45.049457image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile20
Q127
median30.5345
Q336
95-th percentile46
Maximum54
Range37
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.59421
Coefficient of variation (CV)0.240069
Kurtosis-0.192197
Mean31.6335
Median Absolute Deviation (MAD)4.53446
Skewness0.521914
Sum73073.3
Variance57.6721
MonotocityNot monotonic
2020-08-10T20:36:45.372113image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
281868.1%
 
291466.3%
 
251044.5%
 
26964.2%
 
20964.2%
 
32924.0%
 
37883.8%
 
23843.6%
 
34823.5%
 
38803.5%
 
Other values (340)125654.4%
 
ValueCountFrequency (%) 
1760.3%
 
18241.0%
 
19140.6%
 
20964.2%
 
21723.1%
 
ValueCountFrequency (%) 
5480.3%
 
5260.3%
 
50200.9%
 
49301.3%
 
48140.6%
 
Distinct count160
Unique (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.07673
Minimum-0.77709
Maximum3.10599
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:45.712589image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-0.77709
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3.10599
Range3.88308
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.413789
Coefficient of variation (CV)0.384301
Kurtosis9.72284
Mean1.07673
Median Absolute Deviation (MAD)0
Skewness0.269259
Sum2487.25
Variance0.171221
MonotocityNot monotonic
2020-08-10T20:36:46.038262image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1188681.6%
 
21104.8%
 
-0.7770920.1%
 
1.3788220.1%
 
2.7206320.1%
 
0.5341120.1%
 
2.7206320.1%
 
0.48780820.1%
 
1.8012220.1%
 
3.1059920.1%
 
Other values (150)29812.9%
 
ValueCountFrequency (%) 
-0.7770920.1%
 
-0.7770920.1%
 
-0.7770920.1%
 
-0.7770920.1%
 
-0.7770920.1%
 
ValueCountFrequency (%) 
3.1059920.1%
 
3.0530820.1%
 
3.0530820.1%
 
3.0530820.1%
 
3.0530820.1%
 

Times_away_from_home_in_last_12_months
Real number (ℝ≥0)

ZEROS

Distinct count27
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.03117
Minimum0
Maximum90
Zeros1138
Zeros (%)49.3%
Memory size18.0 KiB
2020-08-10T20:36:46.358217image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile28
Maximum90
Range90
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.23721
Coefficient of variation (CV)2.29145
Kurtosis23.4919
Mean4.03117
Median Absolute Deviation (MAD)1
Skewness4.21587
Sum9312
Variance85.326
MonotocityNot monotonic
2020-08-10T20:36:46.615436image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
0113849.3%
 
126411.4%
 
324010.4%
 
21586.8%
 
101124.8%
 
29642.8%
 
4582.5%
 
5582.5%
 
6381.6%
 
7281.2%
 
Other values (17)1526.6%
 
ValueCountFrequency (%) 
0113849.3%
 
126411.4%
 
21586.8%
 
324010.4%
 
4582.5%
 
ValueCountFrequency (%) 
9040.2%
 
7520.1%
 
54200.9%
 
4040.2%
 
3620.1%
 

Partner_currently_pregnant
Real number (ℝ)

ZEROS

Distinct count317
Unique (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.401832
Minimum-3.90933
Maximum8
Zeros1636
Zeros (%)70.8%
Memory size18.0 KiB
2020-08-10T20:36:46.898887image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-3.90933
5-th percentile0
Q10
median0
Q30
95-th percentile2.48359
Maximum8
Range11.9093
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.36452
Coefficient of variation (CV)3.39575
Kurtosis19.4822
Mean0.401832
Median Absolute Deviation (MAD)0
Skewness4.00473
Sum928.232
Variance1.86191
MonotocityNot monotonic
2020-08-10T20:36:47.236989image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0163670.8%
 
130813.3%
 
8522.3%
 
-1.250231< 0.1%
 
0.84331< 0.1%
 
0.3392111< 0.1%
 
-0.5461521< 0.1%
 
2.229331< 0.1%
 
-1.824561< 0.1%
 
2.611481< 0.1%
 
Other values (307)30713.3%
 
ValueCountFrequency (%) 
-3.909331< 0.1%
 
-3.909331< 0.1%
 
-3.144691< 0.1%
 
-3.144691< 0.1%
 
-2.416351< 0.1%
 
ValueCountFrequency (%) 
8522.3%
 
4.55921< 0.1%
 
4.55921< 0.1%
 
3.860391< 0.1%
 
3.860381< 0.1%
 

Number_of_women_fathered_children_with
Real number (ℝ≥0)

ZEROS

Distinct count8
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.54978
Minimum0
Maximum11
Zeros222
Zeros (%)9.6%
Memory size18.0 KiB
2020-08-10T20:36:47.522379image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.15416
Coefficient of variation (CV)0.744722
Kurtosis16.076
Mean1.54978
Median Absolute Deviation (MAD)1
Skewness2.72385
Sum3580
Variance1.33208
MonotocityNot monotonic
2020-08-10T20:36:47.739360image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
1110647.9%
 
270230.4%
 
02229.6%
 
31526.6%
 
4944.1%
 
6200.9%
 
1180.3%
 
560.3%
 
ValueCountFrequency (%) 
02229.6%
 
1110647.9%
 
270230.4%
 
31526.6%
 
4944.1%
 
ValueCountFrequency (%) 
1180.3%
 
6200.9%
 
560.3%
 
4944.1%
 
31526.6%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
3
2304 
0
 
6
ValueCountFrequency (%) 
3230499.7%
 
060.3%
 
Distinct count138
Unique (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0371012
Minimum-1.30076
Maximum1.08514
Zeros2066
Zeros (%)89.4%
Memory size18.0 KiB
2020-08-10T20:36:48.014302image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-1.30076
5-th percentile0
Q10
median0
Q30
95-th percentile0.870139
Maximum1.08514
Range2.3859
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2747
Coefficient of variation (CV)7.40407
Kurtosis10.6227
Mean0.0371012
Median Absolute Deviation (MAD)0
Skewness1.0875
Sum85.7037
Variance0.0754599
MonotocityNot monotonic
2020-08-10T20:36:48.342663image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0206689.4%
 
11084.7%
 
-0.07505941< 0.1%
 
-1.300761< 0.1%
 
-1.300761< 0.1%
 
-1.300761< 0.1%
 
-0.2527881< 0.1%
 
-0.2366331< 0.1%
 
0.3146151< 0.1%
 
-0.07505961< 0.1%
 
Other values (128)1285.5%
 
ValueCountFrequency (%) 
-1.300761< 0.1%
 
-1.300761< 0.1%
 
-1.300761< 0.1%
 
-1.300761< 0.1%
 
-1.300761< 0.1%
 
ValueCountFrequency (%) 
1.085141< 0.1%
 
1.085141< 0.1%
 
1.085141< 0.1%
 
1.085141< 0.1%
 
1.085141< 0.1%
 

Source_of_condoms
Real number (ℝ≥0)

Distinct count2052
Unique (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.3576
Minimum6.20923
Maximum50.6956
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:48.674701image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum6.20923
5-th percentile15.0864
Q122.4794
median26.0357
Q330.6817
95-th percentile35.5028
Maximum50.6956
Range44.4864
Interquartile range (IQR)8.20224

Descriptive statistics

Standard deviation6.07524
Coefficient of variation (CV)0.230493
Kurtosis0.311617
Mean26.3576
Median Absolute Deviation (MAD)3.98733
Skewness-0.161177
Sum60886.2
Variance36.9086
MonotocityNot monotonic
2020-08-10T20:36:48.977423image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
311185.1%
 
21502.2%
 
22401.7%
 
12321.4%
 
11100.4%
 
2580.3%
 
1540.2%
 
3320.1%
 
1420.1%
 
2620.1%
 
Other values (2042)204288.4%
 
ValueCountFrequency (%) 
6.209231< 0.1%
 
6.209231< 0.1%
 
9.191831< 0.1%
 
9.191831< 0.1%
 
10.97971< 0.1%
 
ValueCountFrequency (%) 
50.69561< 0.1%
 
50.69561< 0.1%
 
42.61911< 0.1%
 
42.61911< 0.1%
 
42.61911< 0.1%
 

Brand_of_condom_used
Real number (ℝ)

Distinct count2048
Unique (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.6321
Minimum-391.597
Maximum373.113
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:49.295238image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-391.597
5-th percentile-145.206
Q1-4.98216
median40.0986
Q3110.001
95-th percentile222.038
Maximum373.113
Range764.71
Interquartile range (IQR)114.983

Descriptive statistics

Standard deviation115.932
Coefficient of variation (CV)2.65704
Kurtosis2.72875
Mean43.6321
Median Absolute Deviation (MAD)58.454
Skewness-0.81081
Sum100790
Variance13440.3
MonotocityNot monotonic
2020-08-10T20:36:49.629276image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21044.5%
 
1502.2%
 
3361.6%
 
4361.6%
 
96221.0%
 
98200.9%
 
110.0011< 0.1%
 
142.5551< 0.1%
 
-29.37721< 0.1%
 
67.67111< 0.1%
 
Other values (2038)203888.2%
 
ValueCountFrequency (%) 
-391.5971< 0.1%
 
-391.5971< 0.1%
 
-391.5971< 0.1%
 
-391.5971< 0.1%
 
-391.5971< 0.1%
 
ValueCountFrequency (%) 
373.1131< 0.1%
 
373.1131< 0.1%
 
350.0641< 0.1%
 
350.0641< 0.1%
 
350.0641< 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1926 
1
384 
ValueCountFrequency (%) 
0192683.4%
 
138416.6%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2284 
1
 
26
ValueCountFrequency (%) 
0228498.9%
 
1261.1%
 

Age_at_circumcision
Real number (ℝ≥0)

Distinct count1702
Unique (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.754
Minimum0
Maximum98
Zeros14
Zeros (%)0.6%
Memory size18.0 KiB
2020-08-10T20:36:49.983466image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q128.0877
median36.2512
Q342.6753
95-th percentile95
Maximum98
Range98
Interquartile range (IQR)14.5876

Descriptive statistics

Standard deviation20.0765
Coefficient of variation (CV)0.531773
Kurtosis2.83975
Mean37.754
Median Absolute Deviation (MAD)7.10709
Skewness1.50033
Sum87211.7
Variance403.067
MonotocityNot monotonic
2020-08-10T20:36:50.301326image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
951827.9%
 
20682.9%
 
6441.9%
 
22361.6%
 
25361.6%
 
18301.3%
 
10281.2%
 
12241.0%
 
15200.9%
 
17160.7%
 
Other values (1692)182679.0%
 
ValueCountFrequency (%) 
0140.6%
 
1120.5%
 
260.3%
 
360.3%
 
560.3%
 
ValueCountFrequency (%) 
9820.1%
 
951827.9%
 
61.95281< 0.1%
 
61.95281< 0.1%
 
61.95271< 0.1%
 
Distinct count1678
Unique (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.7173
Minimum-61.7293
Maximum148.021
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:50.624137image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-61.7293
5-th percentile-16.5219
Q11
median19.6475
Q351.7215
95-th percentile96
Maximum148.021
Range209.751
Interquartile range (IQR)50.7215

Descriptive statistics

Standard deviation33.8076
Coefficient of variation (CV)1.26538
Kurtosis-0.0549111
Mean26.7173
Median Absolute Deviation (MAD)18.6475
Skewness0.694443
Sum61717
Variance1142.95
MonotocityNot monotonic
2020-08-10T20:36:50.939414image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
131413.6%
 
21928.3%
 
98743.2%
 
96562.4%
 
28.64011< 0.1%
 
-3.150991< 0.1%
 
32.26751< 0.1%
 
80.95041< 0.1%
 
61.25731< 0.1%
 
63.21621< 0.1%
 
Other values (1668)166872.2%
 
ValueCountFrequency (%) 
-61.72931< 0.1%
 
-61.72931< 0.1%
 
-61.72931< 0.1%
 
-61.72931< 0.1%
 
-61.72921< 0.1%
 
ValueCountFrequency (%) 
148.0211< 0.1%
 
148.0211< 0.1%
 
148.0211< 0.1%
 
148.0211< 0.1%
 
148.0211< 0.1%
 
Distinct count1680
Unique (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.413
Minimum-108.408
Maximum103.065
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:51.268351image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-108.408
5-th percentile-23.71
Q13
median21.0317
Q342.3426
95-th percentile96
Maximum103.065
Range211.473
Interquartile range (IQR)39.3426

Descriptive statistics

Standard deviation35.0036
Coefficient of variation (CV)1.37739
Kurtosis0.630619
Mean25.413
Median Absolute Deviation (MAD)19.2106
Skewness0.307237
Sum58704.1
Variance1225.25
MonotocityNot monotonic
2020-08-10T20:36:51.583418image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
41506.5%
 
11365.9%
 
961345.8%
 
31104.8%
 
98823.5%
 
2241.0%
 
39.30731< 0.1%
 
-12.80951< 0.1%
 
52.42441< 0.1%
 
70.50761< 0.1%
 
Other values (1670)167072.3%
 
ValueCountFrequency (%) 
-108.4081< 0.1%
 
-108.4081< 0.1%
 
-108.4081< 0.1%
 
-108.4081< 0.1%
 
-108.4081< 0.1%
 
ValueCountFrequency (%) 
103.0651< 0.1%
 
103.0651< 0.1%
 
103.0651< 0.1%
 
103.0651< 0.1%
 
103.0651< 0.1%
 

Time_since_last_sex_(in_days)
Real number (ℝ≥0)

ZEROS

Distinct count56
Unique (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.9803
Minimum0
Maximum31
Zeros310
Zeros (%)13.4%
Memory size18.0 KiB
2020-08-10T20:36:51.905814image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q321
95-th percentile31
Maximum31
Range31
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.2853
Coefficient of variation (CV)1.11885
Kurtosis-1.04203
Mean10.9803
Median Absolute Deviation (MAD)3
Skewness0.849375
Sum25364.6
Variance150.929
MonotocityNot monotonic
2020-08-10T20:36:52.216949image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3157424.8%
 
031013.4%
 
127011.7%
 
323210.0%
 
223010.0%
 
723010.0%
 
41305.6%
 
14823.5%
 
6723.1%
 
21582.5%
 
Other values (46)1225.3%
 
ValueCountFrequency (%) 
031013.4%
 
127011.7%
 
223010.0%
 
323210.0%
 
41305.6%
 
ValueCountFrequency (%) 
3157424.8%
 
21582.5%
 
19100.4%
 
15221.0%
 
14823.5%
 

Ever_been_married_or_in_union
Real number (ℝ)

ZEROS

Distinct count1999
Unique (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.921344
Minimum-3.93588
Maximum7.71064
Zeros220
Zeros (%)9.5%
Memory size18.0 KiB
2020-08-10T20:36:52.533592image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-3.93588
5-th percentile-0.718124
Q10
median0.783459
Q31.35022
95-th percentile3.70302
Maximum7.71064
Range11.6465
Interquartile range (IQR)1.35022

Descriptive statistics

Standard deviation1.45437
Coefficient of variation (CV)1.57853
Kurtosis5.78565
Mean0.921344
Median Absolute Deviation (MAD)0.703678
Skewness1.50979
Sum2128.3
Variance2.11519
MonotocityNot monotonic
2020-08-10T20:36:52.868405image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02209.5%
 
1642.8%
 
2301.3%
 
6.155221< 0.1%
 
0.8407741< 0.1%
 
1.132381< 0.1%
 
1.350221< 0.1%
 
-0.485611< 0.1%
 
0.5928561< 0.1%
 
0.159121< 0.1%
 
Other values (1989)198986.1%
 
ValueCountFrequency (%) 
-3.935881< 0.1%
 
-3.935881< 0.1%
 
-3.935881< 0.1%
 
-3.935881< 0.1%
 
-3.935881< 0.1%
 
ValueCountFrequency (%) 
7.710641< 0.1%
 
7.710641< 0.1%
 
7.710641< 0.1%
 
7.710641< 0.1%
 
7.710641< 0.1%
 
Distinct count1261
Unique (%)54.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean282.16
Minimum-28.7399
Maximum998
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:36:53.205325image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-28.7399
5-th percentile107
Q1202
median241.894
Q3298.124
95-th percentile994
Maximum998
Range1026.74
Interquartile range (IQR)96.1244

Descriptive statistics

Standard deviation183.197
Coefficient of variation (CV)0.649269
Kurtosis9.8317
Mean282.16
Median Absolute Deviation (MAD)39.8935
Skewness3.14622
Sum651789
Variance33561.3
MonotocityNot monotonic
2020-08-10T20:36:53.521510image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20228412.3%
 
2031727.4%
 
2011647.1%
 
9941124.8%
 
204883.8%
 
205763.3%
 
106341.5%
 
208221.0%
 
102221.0%
 
105180.8%
 
Other values (1251)131857.1%
 
ValueCountFrequency (%) 
-28.73991< 0.1%
 
-28.73991< 0.1%
 
-28.73991< 0.1%
 
-28.73991< 0.1%
 
-28.73991< 0.1%
 
ValueCountFrequency (%) 
998160.7%
 
9941124.8%
 
388.3111< 0.1%
 
388.3111< 0.1%
 
379.7671< 0.1%
 
Distinct count3
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1668 
0
612 
8
 
30
ValueCountFrequency (%) 
1166872.2%
 
061226.5%
 
8301.3%
 
Distinct count3
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2136 
0
 
172
8
 
2
ValueCountFrequency (%) 
1213692.5%
 
01727.4%
 
820.1%
 
Distinct count583
Unique (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.623188
Minimum-2.51553
Maximum9.29942
Zeros734
Zeros (%)31.8%
Memory size18.0 KiB
2020-08-10T20:36:53.827371image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-2.51553
5-th percentile-0.746176
Q10
median1
Q31
95-th percentile1.65296
Maximum9.29942
Range11.815
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.20889
Coefficient of variation (CV)1.93985
Kurtosis24.9506
Mean0.623188
Median Absolute Deviation (MAD)0.580499
Skewness3.46535
Sum1439.56
Variance1.46142
MonotocityNot monotonic
2020-08-10T20:36:54.150165image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
199042.9%
 
073431.8%
 
860.3%
 
-0.0433981< 0.1%
 
-0.4022111< 0.1%
 
9.299411< 0.1%
 
0.4018051< 0.1%
 
-0.04339421< 0.1%
 
2.251431< 0.1%
 
-1.223121< 0.1%
 
Other values (573)57324.8%
 
ValueCountFrequency (%) 
-2.515531< 0.1%
 
-2.515531< 0.1%
 
-2.515531< 0.1%
 
-2.515531< 0.1%
 
-2.515521< 0.1%
 
ValueCountFrequency (%) 
9.299421< 0.1%
 
9.299421< 0.1%
 
9.299421< 0.1%
 
9.299421< 0.1%
 
9.299421< 0.1%
 
Distinct count293
Unique (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.455674
Minimum-3.08313
Maximum7.12242
Zeros1070
Zeros (%)46.3%
Memory size18.0 KiB
2020-08-10T20:36:54.474168image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-3.08313
5-th percentile-0.581934
Q10
median0
Q31
95-th percentile1.94425
Maximum7.12242
Range10.2055
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.06089
Coefficient of variation (CV)2.32818
Kurtosis14.9536
Mean0.455674
Median Absolute Deviation (MAD)0.231156
Skewness2.57269
Sum1052.61
Variance1.12549
MonotocityNot monotonic
2020-08-10T20:36:54.782803image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0107046.3%
 
166028.6%
 
-1.1918620.1%
 
1.1405720.1%
 
-1.9983620.1%
 
0.28865420.1%
 
2.0198820.1%
 
-1.1472920.1%
 
-1.9192820.1%
 
-0.95416520.1%
 
Other values (283)56424.4%
 
ValueCountFrequency (%) 
-3.0831320.1%
 
-2.97720.1%
 
-2.8532420.1%
 
-2.6443320.1%
 
-2.6443320.1%
 
ValueCountFrequency (%) 
7.1224220.1%
 
7.1224220.1%
 
7.1224220.1%
 
7.1224220.1%
 
7.1224220.1%
 
Distinct count583
Unique (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18017
Minimum-2.83838
Maximum8
Zeros1540
Zeros (%)66.7%
Memory size18.0 KiB
2020-08-10T20:36:55.101631image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-2.83838
5-th percentile-0.460152
Q10
median0
Q30
95-th percentile1.19105
Maximum8
Range10.8384
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.754856
Coefficient of variation (CV)4.18968
Kurtosis40.6494
Mean0.18017
Median Absolute Deviation (MAD)0
Skewness3.63612
Sum416.194
Variance0.569807
MonotocityNot monotonic
2020-08-10T20:36:55.436802image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0154066.7%
 
11827.9%
 
880.3%
 
0.6721341< 0.1%
 
0.2331391< 0.1%
 
0.5982411< 0.1%
 
-1.166431< 0.1%
 
-0.3498741< 0.1%
 
-2.838341< 0.1%
 
-1.645411< 0.1%
 
Other values (573)57324.8%
 
ValueCountFrequency (%) 
-2.838381< 0.1%
 
-2.838381< 0.1%
 
-2.838351< 0.1%
 
-2.838351< 0.1%
 
-2.838341< 0.1%
 
ValueCountFrequency (%) 
880.3%
 
2.211741< 0.1%
 
2.211741< 0.1%
 
2.211711< 0.1%
 
2.211711< 0.1%
 
Distinct count582
Unique (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0375691
Minimum-2.4057
Maximum2.04321
Zeros1632
Zeros (%)70.6%
Memory size18.0 KiB
2020-08-10T20:36:57.128205image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-2.4057
5-th percentile-0.838894
Q10
median0
Q30
95-th percentile0.589714
Maximum2.04321
Range4.44891
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.430961
Coefficient of variation (CV)-11.4712
Kurtosis10.8566
Mean-0.0375691
Median Absolute Deviation (MAD)0
Skewness-1.74396
Sum-86.7845
Variance0.185727
MonotocityNot monotonic
2020-08-10T20:36:57.449233image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0163270.6%
 
1984.2%
 
0.2066471< 0.1%
 
0.4114411< 0.1%
 
0.09375621< 0.1%
 
0.2066471< 0.1%
 
0.1230341< 0.1%
 
-1.360431< 0.1%
 
-0.7092571< 0.1%
 
-0.7222171< 0.1%
 
Other values (572)57224.8%
 
ValueCountFrequency (%) 
-2.40571< 0.1%
 
-2.40571< 0.1%
 
-2.40571< 0.1%
 
-2.40571< 0.1%
 
-2.40571< 0.1%
 
ValueCountFrequency (%) 
2.043211< 0.1%
 
2.043211< 0.1%
 
1.67751< 0.1%
 
1.67751< 0.1%
 
1984.2%
 
Distinct count583
Unique (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.501079
Minimum-3.31139
Maximum8.87991
Zeros1016
Zeros (%)44.0%
Memory size18.0 KiB
2020-08-10T20:36:57.762287image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-3.31139
5-th percentile-1.65005
Q10
median0
Q31
95-th percentile3.05032
Maximum8.87991
Range12.1913
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.51447
Coefficient of variation (CV)3.02243
Kurtosis12.0017
Mean0.501079
Median Absolute Deviation (MAD)0.689587
Skewness2.60671
Sum1157.49
Variance2.29363
MonotocityNot monotonic
2020-08-10T20:36:58.085894image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0101644.0%
 
170230.4%
 
8120.5%
 
-1.093841< 0.1%
 
3.050341< 0.1%
 
-2.401531< 0.1%
 
3.050291< 0.1%
 
3.811421< 0.1%
 
1.096641< 0.1%
 
0.3370641< 0.1%
 
Other values (573)57324.8%
 
ValueCountFrequency (%) 
-3.311391< 0.1%
 
-3.311391< 0.1%
 
-3.100451< 0.1%
 
-3.100451< 0.1%
 
-3.100411< 0.1%
 
ValueCountFrequency (%) 
8.879911< 0.1%
 
8.879911< 0.1%
 
8.879891< 0.1%
 
8.879891< 0.1%
 
8.879851< 0.1%
 
Distinct count583
Unique (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.311559
Minimum-2.19175
Maximum8
Zeros1408
Zeros (%)61.0%
Memory size18.0 KiB
2020-08-10T20:36:58.410279image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-2.19175
5-th percentile-0.671642
Q10
median0
Q30.505164
95-th percentile1.46368
Maximum8
Range10.1917
Interquartile range (IQR)0.505164

Descriptive statistics

Standard deviation1.12366
Coefficient of variation (CV)3.60658
Kurtosis29.9451
Mean0.311559
Median Absolute Deviation (MAD)0
Skewness4.64429
Sum719.701
Variance1.26262
MonotocityNot monotonic
2020-08-10T20:36:58.740575image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0140861.0%
 
128812.5%
 
8341.5%
 
-1.419861< 0.1%
 
-1.143461< 0.1%
 
-0.06131791< 0.1%
 
1.126031< 0.1%
 
0.9433051< 0.1%
 
0.06433971< 0.1%
 
0.6416861< 0.1%
 
Other values (573)57324.8%
 
ValueCountFrequency (%) 
-2.191751< 0.1%
 
-2.191751< 0.1%
 
-2.191671< 0.1%
 
-2.191671< 0.1%
 
-2.191651< 0.1%
 
ValueCountFrequency (%) 
8341.5%
 
3.756331< 0.1%
 
3.756331< 0.1%
 
2.916841< 0.1%
 
2.916841< 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2156 
0
 
154
ValueCountFrequency (%) 
1215693.3%
 
01546.7%
 
Distinct count4
Unique (%)0.2%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1186 
0
464 
2
446 
3
214 
ValueCountFrequency (%) 
1118651.3%
 
046420.1%
 
244619.3%
 
32149.3%
 

Ever_heard_of_AIDS
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2310 
ValueCountFrequency (%) 
12310100.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1418 
0
892 
ValueCountFrequency (%) 
1141861.4%
 
089238.6%
 
Distinct count3
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1936 
0
310 
8
 
64
ValueCountFrequency (%) 
1193683.8%
 
031013.4%
 
8642.8%
 
Distinct count3
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2110 
0
 
178
8
 
22
ValueCountFrequency (%) 
1211091.3%
 
01787.7%
 
8221.0%
 
Distinct count3
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2218 
0
 
56
8
 
36
ValueCountFrequency (%) 
1221896.0%
 
0562.4%
 
8361.6%
 
Distinct count3
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1560 
0
716 
8
 
34
ValueCountFrequency (%) 
1156067.5%
 
071631.0%
 
8341.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2120 
1
 
190
ValueCountFrequency (%) 
0212091.8%
 
11908.2%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2204 
1
 
106
ValueCountFrequency (%) 
0220495.4%
 
11064.6%
 
Distinct count2026
Unique (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.806122
Minimum-4.40174
Maximum4.86952
Zeros132
Zeros (%)5.7%
Memory size18.0 KiB
2020-08-10T20:36:59.081315image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-4.40174
5-th percentile-0.630833
Q10.222588
median0.886409
Q31.26212
95-th percentile2.45055
Maximum4.86952
Range9.27126
Interquartile range (IQR)1.03953

Descriptive statistics

Standard deviation1.01836
Coefficient of variation (CV)1.26328
Kurtosis5.24144
Mean0.806122
Median Absolute Deviation (MAD)0.566358
Skewness0.0714984
Sum1862.14
Variance1.03706
MonotocityNot monotonic
2020-08-10T20:36:59.402985image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11546.7%
 
01325.7%
 
0.3351851< 0.1%
 
0.2003641< 0.1%
 
0.406661< 0.1%
 
0.1392711< 0.1%
 
1.21941< 0.1%
 
-3.376681< 0.1%
 
-0.2182241< 0.1%
 
-0.02746321< 0.1%
 
Other values (2016)201687.3%
 
ValueCountFrequency (%) 
-4.401741< 0.1%
 
-4.401741< 0.1%
 
-4.401741< 0.1%
 
-4.401741< 0.1%
 
-4.401741< 0.1%
 
ValueCountFrequency (%) 
4.869521< 0.1%
 
4.869521< 0.1%
 
4.869521< 0.1%
 
4.869521< 0.1%
 
4.869521< 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2180 
0
 
130
ValueCountFrequency (%) 
1218094.4%
 
01305.6%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2224 
0
 
86
ValueCountFrequency (%) 
1222496.3%
 
0863.7%
 
Distinct count40
Unique (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0507848
Minimum-0.239057
Maximum1
Zeros2162
Zeros (%)93.6%
Memory size18.0 KiB
2020-08-10T20:36:59.724931image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-0.239057
5-th percentile0
Q10
median0
Q30
95-th percentile0.345437
Maximum1
Range1.23906
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.215502
Coefficient of variation (CV)4.24343
Kurtosis15.0706
Mean0.0507848
Median Absolute Deviation (MAD)0
Skewness4.1021
Sum117.313
Variance0.0464409
MonotocityNot monotonic
2020-08-10T20:37:00.035550image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%) 
0216293.6%
 
11104.8%
 
0.3454371< 0.1%
 
0.3050711< 0.1%
 
0.3454371< 0.1%
 
0.05770011< 0.1%
 
0.05771< 0.1%
 
0.5961461< 0.1%
 
0.05770011< 0.1%
 
0.05770011< 0.1%
 
Other values (30)301.3%
 
ValueCountFrequency (%) 
-0.2390571< 0.1%
 
-0.2390571< 0.1%
 
-0.106511< 0.1%
 
-0.106511< 0.1%
 
0216293.6%
 
ValueCountFrequency (%) 
11104.8%
 
0.5961461< 0.1%
 
0.5961461< 0.1%
 
0.5961461< 0.1%
 
0.5961461< 0.1%
 

Paid_for_sex_in_last_12_months
Real number (ℝ)

ZEROS

Distinct count40
Unique (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00725108
Minimum-0.35824
Maximum1
Zeros2264
Zeros (%)98.0%
Memory size18.0 KiB
2020-08-10T20:37:00.331244image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-0.35824
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1.35824
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0793845
Coefficient of variation (CV)10.948
Kurtosis100.034
Mean0.00725108
Median Absolute Deviation (MAD)0
Skewness8.87122
Sum16.75
Variance0.00630191
MonotocityNot monotonic
2020-08-10T20:37:00.646361image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%) 
0226498.0%
 
180.3%
 
0.2556781< 0.1%
 
0.4726841< 0.1%
 
-0.358241< 0.1%
 
-0.3582341< 0.1%
 
0.2556781< 0.1%
 
0.2556781< 0.1%
 
0.4726841< 0.1%
 
0.4726861< 0.1%
 
Other values (30)301.3%
 
ValueCountFrequency (%) 
-0.358241< 0.1%
 
-0.358241< 0.1%
 
-0.358241< 0.1%
 
-0.3582391< 0.1%
 
-0.3582341< 0.1%
 
ValueCountFrequency (%) 
180.3%
 
0.7214141< 0.1%
 
0.7214141< 0.1%
 
0.5838921< 0.1%
 
0.5838921< 0.1%
 
Distinct count2044
Unique (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.882453
Minimum-3.81976
Maximum4.72723
Zeros104
Zeros (%)4.5%
Memory size18.0 KiB
2020-08-10T20:37:00.973193image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-3.81976
5-th percentile-1.96102
Q10.163891
median1
Q31.85302
95-th percentile2.94675
Maximum4.72723
Range8.54699
Interquartile range (IQR)1.68913

Descriptive statistics

Standard deviation1.39108
Coefficient of variation (CV)1.57638
Kurtosis1.68149
Mean0.882453
Median Absolute Deviation (MAD)0.841468
Skewness-0.763537
Sum2038.47
Variance1.93511
MonotocityNot monotonic
2020-08-10T20:37:01.277924image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11647.1%
 
01044.5%
 
3.341261< 0.1%
 
4.242721< 0.1%
 
2.277691< 0.1%
 
2.102291< 0.1%
 
-2.149481< 0.1%
 
0.9955641< 0.1%
 
2.95951< 0.1%
 
1.237721< 0.1%
 
Other values (2034)203488.1%
 
ValueCountFrequency (%) 
-3.819761< 0.1%
 
-3.819761< 0.1%
 
-3.819761< 0.1%
 
-3.819761< 0.1%
 
-3.819761< 0.1%
 
ValueCountFrequency (%) 
4.727231< 0.1%
 
4.727231< 0.1%
 
4.727231< 0.1%
 
4.727231< 0.1%
 
4.727231< 0.1%
 
Distinct count2134
Unique (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.911887
Minimum-2.29669
Maximum2.16102
Zeros8
Zeros (%)0.3%
Memory size18.0 KiB
2020-08-10T20:37:01.597907image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-2.29669
5-th percentile0.265937
Q10.784204
median0.966837
Q31.13597
95-th percentile1.43644
Maximum2.16102
Range4.45771
Interquartile range (IQR)0.351767

Descriptive statistics

Standard deviation0.44683
Coefficient of variation (CV)0.490005
Kurtosis16.6725
Mean0.911887
Median Absolute Deviation (MAD)0.179923
Skewness-2.69116
Sum2106.46
Variance0.199657
MonotocityNot monotonic
2020-08-10T20:37:01.898736image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11707.4%
 
080.3%
 
0.5943061< 0.1%
 
1.248041< 0.1%
 
0.881471< 0.1%
 
0.2538871< 0.1%
 
1.22391< 0.1%
 
0.7395291< 0.1%
 
0.622531< 0.1%
 
0.9690811< 0.1%
 
Other values (2124)212491.9%
 
ValueCountFrequency (%) 
-2.296691< 0.1%
 
-2.296691< 0.1%
 
-2.273941< 0.1%
 
-2.273941< 0.1%
 
-2.273941< 0.1%
 
ValueCountFrequency (%) 
2.161021< 0.1%
 
2.161021< 0.1%
 
2.161021< 0.1%
 
2.161021< 0.1%
 
2.161021< 0.1%
 

Age_of_most_recent_partner
Real number (ℝ≥0)

Distinct count222
Unique (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.8535
Minimum15
Maximum98
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:37:02.215135image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile20
Q125
median30
Q336
95-th percentile46
Maximum98
Range83
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.4604
Coefficient of variation (CV)0.274212
Kurtosis9.22595
Mean30.8535
Median Absolute Deviation (MAD)5
Skewness1.60497
Sum71271.5
Variance71.5784
MonotocityNot monotonic
2020-08-10T20:37:02.524117image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2823610.2%
 
201606.9%
 
291325.7%
 
301124.8%
 
251104.8%
 
321084.7%
 
371024.4%
 
38863.7%
 
23863.7%
 
21823.5%
 
Other values (212)109647.4%
 
ValueCountFrequency (%) 
1520.1%
 
17160.7%
 
18582.5%
 
19120.5%
 
201606.9%
 
ValueCountFrequency (%) 
9860.3%
 
5480.3%
 
5260.3%
 
49301.3%
 
48140.6%
 
Distinct count1793
Unique (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.2485
Minimum0.0898591
Maximum98
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:37:02.848104image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0.0898591
5-th percentile18
Q124.8202
median30.8972
Q335.6827
95-th percentile45.0456
Maximum98
Range97.9101
Interquartile range (IQR)10.8625

Descriptive statistics

Standard deviation10.7914
Coefficient of variation (CV)0.345342
Kurtosis8.48639
Mean31.2485
Median Absolute Deviation (MAD)5.29884
Skewness1.93663
Sum72183.9
Variance116.454
MonotocityNot monotonic
2020-08-10T20:37:03.170294image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20703.0%
 
27602.6%
 
24361.6%
 
19361.6%
 
34361.6%
 
31281.2%
 
25261.1%
 
41261.1%
 
18261.1%
 
45261.1%
 
Other values (1783)194084.0%
 
ValueCountFrequency (%) 
0.08985911< 0.1%
 
0.08986091< 0.1%
 
1.637551< 0.1%
 
1.637551< 0.1%
 
9.398231< 0.1%
 
ValueCountFrequency (%) 
9860.3%
 
86.56631< 0.1%
 
86.56631< 0.1%
 
86.56631< 0.1%
 
86.56631< 0.1%
 
Distinct count2260
Unique (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.3345
Minimum11.2104
Maximum39.3976
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:37:03.490761image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum11.2104
5-th percentile21.2284
Q126.468
median29.5016
Q332.3829
95-th percentile36.261
Maximum39.3976
Range28.1872
Interquartile range (IQR)5.91498

Descriptive statistics

Standard deviation4.61896
Coefficient of variation (CV)0.157458
Kurtosis0.517991
Mean29.3345
Median Absolute Deviation (MAD)3.03232
Skewness-0.427332
Sum67762.6
Variance21.3348
MonotocityNot monotonic
2020-08-10T20:37:03.809087image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
35221.0%
 
25140.6%
 
2680.3%
 
3660.3%
 
2820.1%
 
2020.1%
 
1820.1%
 
2320.1%
 
35.21691< 0.1%
 
28.24811< 0.1%
 
Other values (2250)225097.4%
 
ValueCountFrequency (%) 
11.21041< 0.1%
 
11.21041< 0.1%
 
12.16271< 0.1%
 
12.16271< 0.1%
 
12.32761< 0.1%
 
ValueCountFrequency (%) 
39.39761< 0.1%
 
39.39761< 0.1%
 
39.38331< 0.1%
 
39.38331< 0.1%
 
39.37531< 0.1%
 
Distinct count64
Unique (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.74338
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:37:04.149694image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q37
95-th percentile15
Maximum98
Range97
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.9454
Coefficient of variation (CV)1.77142
Kurtosis40.23
Mean6.74338
Median Absolute Deviation (MAD)2
Skewness6.01717
Sum15577.2
Variance142.692
MonotocityNot monotonic
2020-08-10T20:37:04.478929image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
345619.7%
 
233014.3%
 
429612.8%
 
525811.2%
 
123410.1%
 
102089.0%
 
61386.0%
 
7682.9%
 
8562.4%
 
9301.3%
 
Other values (54)23610.2%
 
ValueCountFrequency (%) 
123410.1%
 
233014.3%
 
345619.7%
 
429612.8%
 
4.503481< 0.1%
 
ValueCountFrequency (%) 
98140.6%
 
95160.7%
 
52140.6%
 
5040.2%
 
4060.3%
 

Concurrent_sexual_partners
Real number (ℝ)

ZEROS

Distinct count1770
Unique (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.565391
Minimum-3.43957
Maximum3.08159
Zeros200
Zeros (%)8.7%
Memory size18.0 KiB
2020-08-10T20:37:04.799829image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-3.43957
5-th percentile-0.576908
Q10.0235081
median0.710426
Q31
95-th percentile1.5836
Maximum3.08159
Range6.52116
Interquartile range (IQR)0.976492

Descriptive statistics

Standard deviation0.760978
Coefficient of variation (CV)1.34593
Kurtosis4.35446
Mean0.565391
Median Absolute Deviation (MAD)0.413946
Skewness-1.19138
Sum1306.05
Variance0.579087
MonotocityNot monotonic
2020-08-10T20:37:05.114753image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
134214.8%
 
02008.7%
 
0.4286691< 0.1%
 
0.1795491< 0.1%
 
-0.0965971< 0.1%
 
0.287361< 0.1%
 
0.6482131< 0.1%
 
0.3909181< 0.1%
 
-0.3419791< 0.1%
 
1.750631< 0.1%
 
Other values (1760)176076.2%
 
ValueCountFrequency (%) 
-3.439571< 0.1%
 
-3.439571< 0.1%
 
-2.905741< 0.1%
 
-2.905741< 0.1%
 
-2.905741< 0.1%
 
ValueCountFrequency (%) 
3.081591< 0.1%
 
3.081591< 0.1%
 
3.081591< 0.1%
 
3.081591< 0.1%
 
3.081591< 0.1%
 
Distinct count1770
Unique (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.999518
Minimum-0.0740875
Maximum3.22715
Zeros18
Zeros (%)0.8%
Memory size18.0 KiB
2020-08-10T20:37:05.451654image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-0.0740875
5-th percentile0.302572
Q10.807691
median1
Q31.09564
95-th percentile1.8625
Maximum3.22715
Range3.30123
Interquartile range (IQR)0.287953

Descriptive statistics

Standard deviation0.435282
Coefficient of variation (CV)0.435492
Kurtosis4.11883
Mean0.999518
Median Absolute Deviation (MAD)0.170014
Skewness1.06298
Sum2308.89
Variance0.18947
MonotocityNot monotonic
2020-08-10T20:37:05.769058image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
152422.7%
 
0180.8%
 
0.8867461< 0.1%
 
0.7135471< 0.1%
 
1.162651< 0.1%
 
0.7135471< 0.1%
 
0.8768221< 0.1%
 
1.010031< 0.1%
 
1.162651< 0.1%
 
1.111781< 0.1%
 
Other values (1760)176076.2%
 
ValueCountFrequency (%) 
-0.07408751< 0.1%
 
-0.07408751< 0.1%
 
-0.07408531< 0.1%
 
-0.07408531< 0.1%
 
-0.04490691< 0.1%
 
ValueCountFrequency (%) 
3.227151< 0.1%
 
3.227151< 0.1%
 
3.227151< 0.1%
 
3.227151< 0.1%
 
3.227151< 0.1%
 
Distinct count602
Unique (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.04827
Minimum-0.822279
Maximum3.34314
Zeros0
Zeros (%)0.0%
Memory size18.0 KiB
2020-08-10T20:37:06.109904image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-0.822279
5-th percentile0.214044
Q10.643641
median0.98513
Q31.31778
95-th percentile2.43417
Maximum3.34314
Range4.16542
Interquartile range (IQR)0.674139

Descriptive statistics

Standard deviation0.629571
Coefficient of variation (CV)0.600581
Kurtosis1.24328
Mean1.04827
Median Absolute Deviation (MAD)0.339618
Skewness0.743747
Sum2421.51
Variance0.39636
MonotocityNot monotonic
2020-08-10T20:37:06.427211image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.13364361.6%
 
0.7797361.6%
 
1.19167281.2%
 
0.521641281.2%
 
1.16998281.2%
 
0.130636281.2%
 
0.652902281.2%
 
1.32606261.1%
 
0.70913261.1%
 
1.21484241.0%
 
Other values (592)202287.5%
 
ValueCountFrequency (%) 
-0.8222791< 0.1%
 
-0.8222791< 0.1%
 
-0.8222731< 0.1%
 
-0.8222731< 0.1%
 
-0.8222691< 0.1%
 
ValueCountFrequency (%) 
3.3431460.3%
 
3.125091< 0.1%
 
3.125091< 0.1%
 
3.125081< 0.1%
 
3.125081< 0.1%
 
Distinct count582
Unique (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.123068
Minimum-1.92301
Maximum3.1908
Zeros1602
Zeros (%)69.4%
Memory size18.0 KiB
2020-08-10T20:37:06.746583image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-1.92301
5-th percentile-0.29231
Q10
median0
Q30
95-th percentile1
Maximum3.1908
Range5.11381
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.518124
Coefficient of variation (CV)4.21005
Kurtosis12.5927
Mean0.123068
Median Absolute Deviation (MAD)0
Skewness2.35888
Sum284.288
Variance0.268452
MonotocityNot monotonic
2020-08-10T20:37:07.088269image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0160269.4%
 
11285.5%
 
-1.381561< 0.1%
 
-0.2507211< 0.1%
 
0.9719641< 0.1%
 
-0.08746361< 0.1%
 
3.190781< 0.1%
 
0.5791531< 0.1%
 
0.6153741< 0.1%
 
-0.1518211< 0.1%
 
Other values (572)57224.8%
 
ValueCountFrequency (%) 
-1.923011< 0.1%
 
-1.923011< 0.1%
 
-1.381571< 0.1%
 
-1.381571< 0.1%
 
-1.381561< 0.1%
 
ValueCountFrequency (%) 
3.19081< 0.1%
 
3.19081< 0.1%
 
3.190781< 0.1%
 
3.190781< 0.1%
 
3.190781< 0.1%
 
Distinct count582
Unique (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0541459
Minimum-1.57796
Maximum3.17833
Zeros1622
Zeros (%)70.2%
Memory size18.0 KiB
2020-08-10T20:37:07.408366image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-1.57796
5-th percentile-0.411452
Q10
median0
Q30
95-th percentile1
Maximum3.17833
Range4.75629
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.482691
Coefficient of variation (CV)8.91463
Kurtosis19.712
Mean0.0541459
Median Absolute Deviation (MAD)0
Skewness3.02932
Sum125.077
Variance0.232991
MonotocityNot monotonic
2020-08-10T20:37:07.734305image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0162270.2%
 
11084.7%
 
0.149381< 0.1%
 
-0.4255221< 0.1%
 
-0.1844981< 0.1%
 
-0.1844951< 0.1%
 
-0.02683311< 0.1%
 
0.1021051< 0.1%
 
0.01466741< 0.1%
 
-0.9276041< 0.1%
 
Other values (572)57224.8%
 
ValueCountFrequency (%) 
-1.577961< 0.1%
 
-1.577961< 0.1%
 
-1.577961< 0.1%
 
-1.577961< 0.1%
 
-1.577961< 0.1%
 
ValueCountFrequency (%) 
3.178331< 0.1%
 
3.178331< 0.1%
 
3.178321< 0.1%
 
3.178321< 0.1%
 
3.178321< 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2038 
1
272 
ValueCountFrequency (%) 
0203888.2%
 
127211.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2018 
1
292 
ValueCountFrequency (%) 
0201887.4%
 
129212.6%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2124 
1
 
186
ValueCountFrequency (%) 
0212491.9%
 
11868.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2048 
1
262 
ValueCountFrequency (%) 
0204888.7%
 
126211.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2078 
1
232 
ValueCountFrequency (%) 
0207890.0%
 
123210.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2106 
1
 
204
ValueCountFrequency (%) 
0210691.2%
 
12048.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2078 
1
232 
ValueCountFrequency (%) 
0207890.0%
 
123210.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2090 
1
220 
ValueCountFrequency (%) 
0209090.5%
 
12209.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2080 
1
230 
ValueCountFrequency (%) 
0208090.0%
 
123010.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2130 
1
 
180
ValueCountFrequency (%) 
0213092.2%
 
11807.8%
 

type_of_place_of_residence_rural
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1700 
0
610 
ValueCountFrequency (%) 
1170073.6%
 
061026.4%
 

type_of_place_of_residence_urban
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1700 
1
610 
ValueCountFrequency (%) 
0170073.6%
 
161026.4%
 

higest_level_of_education_higher
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2108 
1
 
202
ValueCountFrequency (%) 
0210891.3%
 
12028.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2038 
1
272 
ValueCountFrequency (%) 
0203888.2%
 
127211.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1324 
0
986 
ValueCountFrequency (%) 
1132457.3%
 
098642.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1798 
1
512 
ValueCountFrequency (%) 
0179877.8%
 
151222.2%
 

household_has_radio_no
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1566 
1
744 
ValueCountFrequency (%) 
0156667.8%
 
174432.2%
 

household_has_radio_yes
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1566 
0
744 
ValueCountFrequency (%) 
1156667.8%
 
074432.2%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1688 
1
622 
ValueCountFrequency (%) 
0168873.1%
 
162226.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2280 
1
 
30
ValueCountFrequency (%) 
0228098.7%
 
1301.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1258 
1
1052 
ValueCountFrequency (%) 
0125854.5%
 
1105245.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1944 
1
366 
ValueCountFrequency (%) 
0194484.2%
 
136615.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2308 
1
 
2
ValueCountFrequency (%) 
0230899.9%
 
120.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2302 
1
 
8
ValueCountFrequency (%) 
0230299.7%
 
180.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2228 
1
 
82
ValueCountFrequency (%) 
0222896.5%
 
1823.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2206 
1
 
104
ValueCountFrequency (%) 
0220695.5%
 
11044.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2266 
1
 
44
ValueCountFrequency (%) 
0226698.1%
 
1441.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2234 
1
 
76
ValueCountFrequency (%) 
0223496.7%
 
1763.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2216 
1
 
94
ValueCountFrequency (%) 
0221695.9%
 
1944.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2230 
1
 
80
ValueCountFrequency (%) 
0223096.5%
 
1803.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2266 
1
 
44
ValueCountFrequency (%) 
0226698.1%
 
1441.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1756 
1
554 
ValueCountFrequency (%) 
0175676.0%
 
155424.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2096 
1
214 
ValueCountFrequency (%) 
0209690.7%
 
12149.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2284 
1
 
26
ValueCountFrequency (%) 
0228498.9%
 
1261.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2246 
1
 
64
ValueCountFrequency (%) 
0224697.2%
 
1642.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2300 
1
 
10
ValueCountFrequency (%) 
0230099.6%
 
1100.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2298 
1
 
12
ValueCountFrequency (%) 
0229899.5%
 
1120.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2134 
1
 
176
ValueCountFrequency (%) 
0213492.4%
 
11767.6%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2156 
1
 
154
ValueCountFrequency (%) 
0215693.3%
 
11546.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2136 
1
 
174
ValueCountFrequency (%) 
0213692.5%
 
11747.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2298 
1
 
12
ValueCountFrequency (%) 
0229899.5%
 
1120.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2294 
1
 
16
ValueCountFrequency (%) 
0229499.3%
 
1160.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2302 
1
 
8
ValueCountFrequency (%) 
0230299.7%
 
180.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2168 
1
 
142
ValueCountFrequency (%) 
0216893.9%
 
11426.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2208 
1
 
102
ValueCountFrequency (%) 
0220895.6%
 
11024.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2304 
1
 
6
ValueCountFrequency (%) 
0230499.7%
 
160.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2184 
1
 
126
ValueCountFrequency (%) 
0218494.5%
 
11265.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2156 
1
 
154
ValueCountFrequency (%) 
0215693.3%
 
11546.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2308 
1
 
2
ValueCountFrequency (%) 
0230899.9%
 
120.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2302 
1
 
8
ValueCountFrequency (%) 
0230299.7%
 
180.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2296 
1
 
14
ValueCountFrequency (%) 
0229699.4%
 
1140.6%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2300 
1
 
10
ValueCountFrequency (%) 
0230099.6%
 
1100.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2302 
1
 
8
ValueCountFrequency (%) 
0230299.7%
 
180.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2290 
1
 
20
ValueCountFrequency (%) 
0229099.1%
 
1200.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2306 
1
 
4
ValueCountFrequency (%) 
0230699.8%
 
140.2%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2014 
1
296 
ValueCountFrequency (%) 
0201487.2%
 
129612.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2270 
1
 
40
ValueCountFrequency (%) 
0227098.3%
 
1401.7%
 

education_attainment_higher
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2108 
1
 
202
ValueCountFrequency (%) 
0210891.3%
 
12028.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1282 
1
1028 
ValueCountFrequency (%) 
0128255.5%
 
1102844.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1838 
1
472 
ValueCountFrequency (%) 
0183879.6%
 
147220.4%
 

education_attainment_no education
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2038 
1
272 
ValueCountFrequency (%) 
0203888.2%
 
127211.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2300 
1
 
10
ValueCountFrequency (%) 
0230099.6%
 
1100.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2104 
0
 
206
ValueCountFrequency (%) 
1210491.1%
 
02068.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2304 
1
 
6
ValueCountFrequency (%) 
0230499.7%
 
160.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2244 
1
 
66
ValueCountFrequency (%) 
0224497.1%
 
1662.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2186 
1
 
124
ValueCountFrequency (%) 
0218694.6%
 
11245.4%
 

sex_of_household_head_female
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1614 
1
696 
ValueCountFrequency (%) 
0161469.9%
 
169630.1%
 

sex_of_household_head_male
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1614 
0
696 
ValueCountFrequency (%) 
1161469.9%
 
069630.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1598 
0
712 
ValueCountFrequency (%) 
1159869.2%
 
071230.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1942 
1
368 
ValueCountFrequency (%) 
0194284.1%
 
136815.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2204 
1
 
106
ValueCountFrequency (%) 
0220495.4%
 
11064.6%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2072 
1
238 
ValueCountFrequency (%) 
0207289.7%
 
123810.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2046 
1
264 
ValueCountFrequency (%) 
0204688.6%
 
126411.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2160 
1
 
150
ValueCountFrequency (%) 
0216093.5%
 
11506.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2300 
1
 
10
ValueCountFrequency (%) 
0230099.6%
 
1100.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2308 
1
 
2
ValueCountFrequency (%) 
0230899.9%
 
120.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2302 
1
 
8
ValueCountFrequency (%) 
0230299.7%
 
180.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2050 
1
260 
ValueCountFrequency (%) 
0205088.7%
 
126011.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2290 
1
 
20
ValueCountFrequency (%) 
0229099.1%
 
1200.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2294 
1
 
16
ValueCountFrequency (%) 
0229499.3%
 
1160.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2162 
1
 
148
ValueCountFrequency (%) 
0216293.6%
 
11486.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1566 
0
744 
ValueCountFrequency (%) 
1156667.8%
 
074432.2%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2104 
1
 
206
ValueCountFrequency (%) 
0210491.1%
 
12068.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2048 
1
262 
ValueCountFrequency (%) 
0204888.7%
 
126211.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2198 
1
 
112
ValueCountFrequency (%) 
0219895.2%
 
11124.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1714 
0
596 
ValueCountFrequency (%) 
1171474.2%
 
059625.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1920 
1
390 
ValueCountFrequency (%) 
0192083.1%
 
139016.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2104 
1
 
206
ValueCountFrequency (%) 
0210491.1%
 
12068.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1826 
1
484 
ValueCountFrequency (%) 
0182679.0%
 
148421.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1404 
0
906 
ValueCountFrequency (%) 
1140460.8%
 
090639.2%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1444 
0
866 
ValueCountFrequency (%) 
1144462.5%
 
086637.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2040 
1
270 
ValueCountFrequency (%) 
0204088.3%
 
127011.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1422 
0
888 
ValueCountFrequency (%) 
1142261.6%
 
088838.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2218 
1
 
92
ValueCountFrequency (%) 
0221896.0%
 
1924.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1514 
1
796 
ValueCountFrequency (%) 
0151465.5%
 
179634.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1808 
1
502 
ValueCountFrequency (%) 
0180878.3%
 
150221.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1808 
0
502 
ValueCountFrequency (%) 
1180878.3%
 
050221.7%
 

reason_no_sex_tired_notinmood_no
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1942 
1
368 
ValueCountFrequency (%) 
0194284.1%
 
136815.9%
 

reason_no_sex_tired_notinmood_yes
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1942 
0
368 
ValueCountFrequency (%) 
1194284.1%
 
036815.9%
 

respondent_currently_working_no
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1912 
1
398 
ValueCountFrequency (%) 
0191282.8%
 
139817.2%
 

respondent_currently_working_yes
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1912 
0
398 
ValueCountFrequency (%) 
1191282.8%
 
039817.2%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1784 
1
526 
ValueCountFrequency (%) 
0178477.2%
 
152622.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2296 
1
 
14
ValueCountFrequency (%) 
0229699.4%
 
1140.6%
 

work_area_not working
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2026 
1
284 
ValueCountFrequency (%) 
0202687.7%
 
128412.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2148 
1
 
162
ValueCountFrequency (%) 
0214893.0%
 
11627.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2044 
1
266 
ValueCountFrequency (%) 
0204488.5%
 
126611.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1998 
1
312 
ValueCountFrequency (%) 
0199886.5%
 
131213.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2172 
1
 
138
ValueCountFrequency (%) 
0217294.0%
 
11386.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1702 
1
608 
ValueCountFrequency (%) 
0170273.7%
 
160826.3%
 

v731_currently working
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1882 
0
428 
ValueCountFrequency (%) 
1188281.5%
 
042818.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2280 
1
 
30
ValueCountFrequency (%) 
0228098.7%
 
1301.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2196 
1
 
114
ValueCountFrequency (%) 
0219695.1%
 
11144.9%
 

v731_no
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2026 
1
284 
ValueCountFrequency (%) 
0202687.7%
 
128412.3%
 

ever_heard_of_sti_no
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2292 
1
 
18
ValueCountFrequency (%) 
0229299.2%
 
1180.8%
 

ever_heard_of_sti_yes
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2292 
0
 
18
ValueCountFrequency (%) 
1229299.2%
 
0180.8%
 

used_condom_last_sex_no
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2136 
0
 
174
ValueCountFrequency (%) 
1213692.5%
 
01747.5%
 

used_condom_last_sex_yes
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2136 
1
 
174
ValueCountFrequency (%) 
0213692.5%
 
11747.5%
 

condoms_from_government_no
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1506 
0
804 
ValueCountFrequency (%) 
1150665.2%
 
080434.8%
 

condoms_from_government_yes
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1506 
1
804 
ValueCountFrequency (%) 
0150665.2%
 
180434.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2176 
1
 
134
ValueCountFrequency (%) 
0217694.2%
 
11345.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2284 
1
 
26
ValueCountFrequency (%) 
0228498.9%
 
1261.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2176 
1
 
134
ValueCountFrequency (%) 
0217694.2%
 
11345.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1588 
0
722 
ValueCountFrequency (%) 
1158868.7%
 
072231.3%
 

ever_test_for_hiv_no
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1398 
1
912 
ValueCountFrequency (%) 
0139860.5%
 
191239.5%
 

ever_test_for_hiv_yes
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1398 
0
912 
ValueCountFrequency (%) 
1139860.5%
 
091239.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2196 
1
 
114
ValueCountFrequency (%) 
0219695.1%
 
11144.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2260 
1
 
50
ValueCountFrequency (%) 
0226097.8%
 
1502.2%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1714 
0
596 
ValueCountFrequency (%) 
1171474.2%
 
059625.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2208 
1
 
102
ValueCountFrequency (%) 
0220895.6%
 
11024.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1980 
1
330 
ValueCountFrequency (%) 
0198085.7%
 
133014.3%
 

last_partner_hiv_status_don't know
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1430 
0
880 
ValueCountFrequency (%) 
1143061.9%
 
088038.1%
 

last_partner_hiv_status_negative
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1500 
1
810 
ValueCountFrequency (%) 
0150064.9%
 
181035.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2246 
1
 
64
ValueCountFrequency (%) 
0224697.2%
 
1642.8%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2304 
1
 
6
ValueCountFrequency (%) 
0230499.7%
 
160.3%
 

ever_forced_for_sex_no
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2224 
0
 
86
ValueCountFrequency (%) 
1222496.3%
 
0863.7%
 

ever_forced_for_sex_yes
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2224 
1
 
86
ValueCountFrequency (%) 
0222496.3%
 
1863.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2302 
1
 
8
ValueCountFrequency (%) 
0230299.7%
 
180.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1258 
1
1052 
ValueCountFrequency (%) 
0125854.5%
 
1105245.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2242 
1
 
68
ValueCountFrequency (%) 
0224297.1%
 
1682.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1430 
1
880 
ValueCountFrequency (%) 
0143061.9%
 
188038.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1792 
1
518 
ValueCountFrequency (%) 
0179277.6%
 
151822.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2242 
1
 
68
ValueCountFrequency (%) 
0224297.1%
 
1682.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1888 
1
422 
ValueCountFrequency (%) 
0188881.7%
 
142218.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2264 
1
 
46
ValueCountFrequency (%) 
0226498.0%
 
1462.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1666 
0
644 
ValueCountFrequency (%) 
1166672.1%
 
064427.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1996 
1
314 
ValueCountFrequency (%) 
0199686.4%
 
131413.6%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1762 
1
548 
ValueCountFrequency (%) 
0176276.3%
 
154823.7%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1340 
0
970 
ValueCountFrequency (%) 
1134058.0%
 
097042.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1996 
1
314 
ValueCountFrequency (%) 
0199686.4%
 
131413.6%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2264 
1
 
46
ValueCountFrequency (%) 
0226498.0%
 
1462.0%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1938 
1
372 
ValueCountFrequency (%) 
0193883.9%
 
137216.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1374 
0
936 
ValueCountFrequency (%) 
1137459.5%
 
093640.5%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2214 
1
 
96
ValueCountFrequency (%) 
0221495.8%
 
1964.2%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1264 
1
1046 
ValueCountFrequency (%) 
0126454.7%
 
1104645.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1850 
1
460 
ValueCountFrequency (%) 
0185080.1%
 
146019.9%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1308 
0
1002 
ValueCountFrequency (%) 
1130856.6%
 
0100243.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2282 
1
 
28
ValueCountFrequency (%) 
0228298.8%
 
1281.2%
 

Gender_Female
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
1155 
1
1155 
ValueCountFrequency (%) 
0115550.0%
 
1115550.0%
 

Gender_Male
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
1155 
0
1155 
ValueCountFrequency (%) 
1115550.0%
 
0115550.0%
 

label
Boolean

HIGH CORRELATION

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
1
2136 
0
 
174
ValueCountFrequency (%) 
1213692.5%
 
01747.5%
 

Correlations

2020-08-10T20:37:09.807151image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.